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A DEVICE FOR CELLULAR BEHAVIOUR ANALYSIS AND A METHOD THEREOF
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Abstract
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Inventors
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Specification
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ORDINARY APPLICATION
Published
Filed on 15 November 2024
Abstract
A device (100) for cellular behavior analysis is disclosed. A printer module (120) prints a plurality of cells from a plurality of biomaterials simultaneously by utilizing a thermoplastic material and a bioink. A plurality of robotic arms (130) shifts the plurality of biomaterials to a plurality of incubators for culturing by the plurality of robotic arms. A control unit (140) collects and analyze a data received from the plurality of sensors. A user interface module (150) allows a user to choose between an automated mode and a manual operation mode. An integration module (160) integrates the printer module with a laboratory information management system to enhance data tracking and project management. A documentation module (170) enables a compliance documentation printing process for regulatory purpose, ensuring that the printing process conforms to standards. FIG. 1
Patent Information
Application ID | 202441088517 |
Invention Field | MECHANICAL ENGINEERING |
Date of Application | 15/11/2024 |
Publication Number | 47/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
ANURAG ATULYA | S/O AWADH BIHARI PURBEY AT: LOHIYA NAGAR, GODDA, 814133, JHARKHAND, INDIA | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
KREATOR 3D PRINTER AND SOLUTIONS PRIVATE LIMITED | WJ5P+439, 388, 9TH MAIN RD, SECTOR 7, HSR LAYOUT, BENGALURU, KARNATAKA- 560102, INDIA | India | India |
Specification
Description:FIELD OF INVENTION
[0001] Embodiments of the present disclosure relate to the field of medical and life sciences, and more particularly, a device for cellular behavior analysis and a method thereof.
BACKGROUND
[0002] In the field of medical and life sciences research, challenges such as repeatability and contamination impact efficiency and cost-effectiveness of a drug discovery, particularly during bioprinting of cells. Repeatability issues occur when experimental results are inconsistent, leading to compromised reliability of research findings and impeding ability to reproduce result across various trials. Further, the contamination risks during research process further creates issues by introducing unintended variables that compromise integrity of experimental data, resulting in unreliable outcomes and increased costs associated with additional testing and validation. For example, if foreign substances, such as bacteria, are introduced into a cell culture, the bacteria can interfere with the result, leading to defective outcomes. Consequently, additional testing and validation are required to correct the impact of the contamination. Conventionally, incubators are bulky and lack advanced features, limiting effectiveness in maintaining controlled environments for culturing of the cell. Moreover, traditional systems generally do not incorporate real-time monitoring or adaptive adjustments in a printing process, resulting in a lack of responsiveness to anomalies and inefficient usage of resources. The above-mentioned challenges collectively contribute to prolonged timelines and elevated expenses in development of new drug discovery, as researchers are forced to invest additional time and resources to address repeatability and contamination.
[0003] Hence, there is a need for an improved device for cellular behavior analysis which addresses the aforementioned issue(s).
OBJECTIVE OF THE INVENTION
[0004] An objective of the present invention is to provide a device capable of printing cells from a plurality of biomaterials by simultaneously handling thermoplastic material and bioink.
[0005] Another objective of the present invention is to utilize a plurality of robotic arms and 2-6 degrees of freedom robotic arms to automate transfer of printed plurality of biomaterials into a plurality of incubators for culturing, thereby significantly reducing risk of contamination to the plurality of biomaterials.
[0006] Yet, another objective of the present invention is to enable real-time monitoring of culturing of the plurality of biomaterials through a camera and a plurality of sensors to continuously monitor growth of the plurality of cells, allowing for early detection of anomalies such as contamination or improper environmental conditions.
[0007] Another objective of the present invention is to integrate microfluidic chip for controlling oxygen, nitrogen, sound, light, and vibration levels in the plurality of incubators.
[0008] Yet, another objective of the present invention is to dynamically adjust a plurality of parameters in response to one or more detected anomalies or deviations from computer-aided design files uploaded by the user while printing the plurality of biomaterials, thereby the user ensures that the printed organoid or the plurality of cells closely matches intended design.
[0009] Another objective of the present invention is to integrate the device with a laboratory information management system for data tracking and project management.
[0010] Yet, another objective of the present invention is to generate documentation of the printing process thereby facilitating scientific reproducibility for reproducing experiments.
BRIEF DESCRIPTION
[0011] In accordance with an embodiment of the present disclosure, a device for cellular behavior analysis is provided. The processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes a printer module configured to print a plurality of cells from a plurality of biomaterials simultaneously by utilizing a thermoplastic material and a bioink, wherein the plurality of cells are combined to form tissues and biomaterials for potentially printing a plurality of organoids. The printer module is also configured to utilize an artificial intelligence technique to adapt a plurality of properties in the bioink based on characteristics of the plurality of cells, thereby facilitating customization of the plurality of properties for a corresponding biotechnological application. Further, the printer module is configured to monitor an environmental condition and a material deposition accuracy of the plurality of biomaterials in real-time during a printing process. Further, the printer module is configured to dynamically adjust a plurality of parameters in response to one or more detected anomalies or deviations from a computer-aided design files uploaded by a user in the printing process. Further, the processing subsystem includes a plurality of robotic arms operatively coupled to the printer module wherein the plurality of robotic arms is configured to shift the plurality of biomaterials to a plurality of incubators for culturing by the plurality of robotic arms, wherein the plurality of incubators includes a plurality of sensors and a camera to capture one or more images of the plurality of biomaterials at a predetermined time to monitor activity of the plurality of biomaterials, wherein the plurality of incubators includes microfluidic chip, for controlling oxygen, nitrogen, sound, light, and vibration levels. Furthermore, the processing subsystem includes a control unit operatively coupled to the plurality of robotic arms wherein the control unit is configured to collect and analyze a data received from the plurality of sensors. The control unit is also configured to control a microcontroller operatively coupled to the printer module in real-time thereby facilitating communication between the microcontroller and a neural network model. Moreover, the processing subsystem includes a user interface module operatively coupled to the control unit wherein the user interface module is configured to allow a user to choose between an automated mode and a manual operation mode to provide flexibility based on the user expertise and requirements for a corresponding biotechnological application. The processing subsystem includes an integration module operatively coupled to the user interface module wherein the integration module is configured to integrate the printer module with a laboratory information management system to enhance data tracking and project management. Further, the processing subsystem includes a documentation module operatively coupled to the integration module wherein the documentation module is configured to enable a compliance documentation printing process for regulatory purpose, ensuring that the printing process conforms to standards. The documentation module is also configured to maintain a plurality of operation logs of the printing process for traceability and scientific reproducibility of the plurality of biomaterials.
[0012] In accordance with another embodiment of the present disclosure, a method for cellular behavior analysis is provided. The method includes printing, by a printer module, a plurality of cells from a plurality of biomaterials simultaneously by utilizing a thermoplastic material and a bioink, wherein the plurality of cells are combined to form tissues and biomaterials for potentially printing a plurality of organoids. The method also includes utilizing, by the printer module, an artificial intelligence technique to adapt a plurality of properties in the bioink based on characteristics of the plurality of cells, thereby facilitating customization of the plurality of properties for a corresponding biotechnological application. Further, the method includes monitoring, by the printer module, an environmental condition and a material deposition accuracy of the plurality of biomaterials in real-time during a printing process. Further, the method also includes adjusting, by the printer module, a plurality of parameters in response to one or more detected anomalies or deviations from computer-aided design files uploaded by a user in the printing process. Furthermore, the method includes shifting, by a plurality of robotic arms, the plurality of biomaterials to a plurality of incubators for culturing by the plurality of robotic arms, wherein the plurality of incubators includes a plurality of sensors and a camera to capture one or more images of the plurality of biomaterials at a predetermined time to monitor activity of the plurality of biomaterials, wherein the plurality of incubators includes microfluidic chip, for controlling oxygen, nitrogen, sound, light, and vibration levels. Additionally, the method includes collecting and analyzing, by a control unit, a data received from the plurality of sensors. Further, the method includes controlling, by the control unit, a microcontroller in real-time thereby facilitating communication between the microcontroller and a neural network model. Furthermore, the method includes allowing, by a user interface module, a user to choose between an automated mode and a manual operation mode to provide flexibility based on the user expertise and requirements for a corresponding biotechnological application. Moreover, the method includes integrating, by an integration module, the printer module with a laboratory information management system to enhance data tracking and project management. Additionally, the method includes enabling, by a documentation module, a compliance documentation printing process for regulatory purpose, ensuring that the printing process conforms to standards. Further, the method includes maintaining, by the documentation module, a plurality of operation logs of the printing process for traceability and scientific reproducibility of the plurality of biomaterials.
[0013] To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures.
BRIEF DESCRIPTION OF THE DRAWINGS
[0014] The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:
[0015] FIG. 1 is a block diagram representation of a device for cellular behavior analysis in accordance with an embodiment of the present disclosure;
[0016] FIG. 2 is a block diagram of an exemplary embodiment of a device for cellular behavior analysis of FIG. 1, in accordance with an embodiment of the present disclosure;
[0017] FIG. 3 illustrates a schematic representation of a device for bioink cartridge handler of FIG. 1, in accordance with an embodiment of the present disclosure;
[0018] FIG. 4 illustrates a schematic representation of a device for thermoplastic cartridge handler of FIG. 1, in accordance with an embodiment of the present disclosure;
[0019] FIG. 5 illustrates a schematic representation of an exemplary embodiment of a device of FIG. 1, in accordance with an embodiment of the present disclosure;
[0020] FIG. 6 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure;
[0021] FIG. 7a illustrates a flow chart representing the steps involved in a method for cellular behavior analysis in accordance with an embodiment of the present disclosure; and
[0022] FIG. 7b illustrates a flow chart illustrating continued steps of the method of FIG. 7 (a) in accordance with an embodiment of the present disclosure.
[0023] Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.
DETAILED DESCRIPTION
[0024] For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.
[0025] The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or subsystems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, additional devices, additional sub-systems, additional elements, additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.
[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting.
[0027] In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms "a", "an", and "the" include plural references unless the context clearly dictates otherwise.
[0028] Embodiments of the present disclosure relates to a device for cellular behavior analysis. The processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes a printer module configured to print a plurality of cells from a plurality of biomaterials simultaneously by utilizing a thermoplastic material and a bioink, wherein the plurality of cells are combined to form tissues and biomaterials for potentially printing a plurality of organoids. The printer module is also configured to utilize an artificial intelligence technique to adapt a plurality of properties in the bioink based on characteristics of the plurality of cells, thereby facilitating customization of the plurality of properties for a corresponding biotechnological application. Further, the printer module is configured to monitor an environmental condition and a material deposition accuracy of the plurality of biomaterials in real-time during a printing process. Further, the printer module is configured to dynamically adjust a plurality of parameters in response to one or more detected anomalies or deviations from a computer-aided design files uploaded by a user in the printing process. Further, the processing subsystem includes a plurality of robotic arms operatively coupled to the printer module wherein the plurality of robotic arms is configured to shift the plurality of biomaterials to a plurality of incubators for culturing by the plurality of robotic arms, wherein the plurality of incubators includes a plurality of sensors and a camera to capture one or more images of the plurality of biomaterials at a predetermined time to monitor activity of the plurality of biomaterials, wherein the plurality of incubators includes microfluidic chip, for controlling oxygen, nitrogen, sound, light, and vibration levels. Furthermore, the processing subsystem includes a control unit operatively coupled to the plurality of robotic arms wherein the control unit is configured to collect and analyze a data received from the plurality of sensors. The control unit is also configured to control a microcontroller operatively coupled to the printer module in real-time thereby facilitating communication between the microcontroller and a neural network model. Moreover, the processing subsystem includes a user interface module operatively coupled to the control unit wherein the user interface module is configured to allow a user to choose between an automated mode and a manual operation mode to provide flexibility based on the user expertise and requirements for a corresponding biotechnological application. The processing subsystem includes an integration module operatively coupled to the user interface module wherein the integration module is configured to integrate the printer module with a laboratory information management system to enhance data tracking and project management. Further, the processing subsystem includes a documentation module operatively coupled to the integration module wherein the documentation module is configured to enable a compliance documentation printing process for regulatory purpose, ensuring that the printing process conforms to standards. The documentation module is also configured to maintain a plurality of operation logs of the printing process for traceability and scientific reproducibility of the plurality of biomaterials.
[0029] FIG. 1 is a block diagram for cellular behavior analysis is provided in accordance with an embodiment of the present disclosure. The system (100) includes a processing subsystem (105) hosted on a server (108). In one embodiment, the server (108) may include a cloud-based server. In another embodiment, parts of the server (108) may be a local server coupled to a user device (not shown in FIG.1). The processing subsystem (105) is configured to execute on a network (115) to control bidirectional communications among a plurality of modules. In one example, the network (115) may be a private or public local area network (LAN) or Wide Area Network (WAN), such as the Internet. In another embodiment, the network (115) may include both wired and wireless communications according to one or more standards and/or via one or more transport mediums. In one example, the network (115) may include wireless communications according to one of the 802.11 or Bluetooth specification sets, or another standard or proprietary wireless communication protocol. In yet another embodiment, the network (115) may also include communications over a terrestrial cellular network, including, a global system for mobile communications (GSM), code division multiple access (CDMA), and/or enhanced data for global evolution (EDGE) network.
[0030] The processing subsystem (105) includes a printer module (120), a plurality of robotic arms (130), a control unit (140), a user interface module (150), an integration module (160), and a documentation module (170).
[0031] The printer module (120) is configured to print a plurality of cells from a plurality of biomaterials simultaneously by utilizing a thermoplastic material and a bioink. Typically, the thermoplastic material acts as a scaffold, providing structural support for the plurality of biomaterials during printing process, while the bioink includes a living cells and other biological components necessary for growth of the plurality of cells. For example, when printing a section of a liver tissue, the bioink may include a liver cells, while the thermoplastic material forms a support structure that maintains shape the liver cells. Further, the plurality of cells is combined to form tissues and biomaterials for potentially printing a plurality of organoids. Typically, the plurality of cells interacts with each other and grows within a supportive structure, ultimately creating the tissues that mimics a living organism. For example, the liver cells can be printed alongside supportive cells like blood vessel cells to form a functioning piece of the liver tissue. Once the tissue is formed, the tissue can be used to print organoids, which are miniature, simplified versions of a real organs. The real organs includes, but is not limited to mini-livers, mini-brains, or mini-kidneys. The real organs replicate some of the key functions of full-sized organs and are valuable for medical research, drug testing, and studying disease processes.
[0032] It must be noted that the printer module (120) prints a 3-dimesnional structure of the organoid.
[0033] The printer module (120) is also configured to utilize an artificial intelligence technique to adapt a plurality of properties in the bioink based on characteristics of the plurality of cells, thereby facilitating customization of the plurality of properties for a corresponding biotechnological application. For instance, if the device (100) is tasked with creating the liver tissue using a stem cell, the AI technique analyzes the stem cell growth patterns and requirements, such as nutrient needs and environmental conditions. The device (100) then adjusts viscosity of the bioink to ensure it supports movement of the plurality of cells and attachment, modify nutrient composition to include essential growth factors, and regulate properties. The examples of the properties includes, but is not limited to, potential of hydrogen (pH) and oxygen levels to match optimal conditions for the liver cell.
[0034] Further, the printer module (120) is configured to monitor an environmental condition and a material deposition accuracy of the plurality of biomaterials in real-time during a printing process. The environmental condition includes but is not limited to temperature, humidity, and gas levels to ensure that the plurality of biomaterials remain in a suitable environment for growth and formation of the plurality of cells. For example, while printing a heart tissue, the device (100) detects a slight fluctuation in the temperature, which negatively affects viability of the plurality of cells. The printer module (120) then immediately adjusts the temperature to maintain optimal conditions.
[0035] Further, the printer module (120) is also configured to dynamically adjust a plurality of parameters in response to one or more detected anomalies or deviations from a computer-aided design files uploaded by a user in the printing process. The computer-aided design files are digital blueprints that define structure and design of the organoid to be printed by the printer module (120). The computer-aided design files include detailed specifications such as the shape, size, layer thickness, and internal geometry of a biological construct being printed.
[0036] Typically, the printer module (120) includes at least 2-6 degrees of freedom robotic arms to replicate the user movements in the printing process. For example, at least 2-6 degrees of freedom robotic arms mimic exact movements of the user in a more controlled and repeatable manner without the user intervention. The at least 2-6 degrees of freedom robotic arms move in various directions-up and down, side to side, and rotationally.
[0037] The printer module (120) is also configured to utilize the computer-aided design files of the plurality of cells uploaded by the user. The printer module (120) also performs slicing of the computer-aided design files for on-board printing. For example, if the user uploads a CAD file of printing the organoid structure, the slicing process breaks this the CAD file (digital representation of the organoid to be printed) into various horizontal layers. Each layer represents a cross-section of the organoid, and the printer module (120) then prints the layers one at a time.
[0038] The plurality of robotic arms (130) is operatively coupled to the printer module (120). The plurality of robotic arms (130) is configured to shift the plurality of biomaterials to a plurality of incubators for culturing by the plurality of robotic arms (130). For example, if the plurality of cells are printed simultaneously, such as liver and skin tissues, the plurality of robotic arms (130) individually place each tissue in the appropriate incubator with customized conditions for its growth, ensuring optimal development for each type of biomaterial. The plurality of incubators includes a plurality of sensors and a camera to capture one or more images of the plurality of biomaterials at a predetermined time to monitor activity of the plurality of biomaterials. The plurality of incubators includes microfluidic chip, for controlling oxygen, nitrogen, sound, light, and vibration levels.
[0039] The control unit (140) is operatively coupled to the plurality of robotic arms (130). The control unit (140) is configured to collect and analyze a data received from the plurality of sensors. The control unit (140) is also configured to control a microcontroller operatively coupled to the printer module (120) in real-time thereby facilitating communication between the microcontroller and the neural network model. For example, if the temperature in the device (100) starts to fluctuate, the control unit (140) detect the said fluctuations via the plurality of sensors and transmit instructions to the microcontroller to adjust the heating or cooling systems, ensuring stable conditions. Additionally, the control unit (140) communicates with the neural network model that utilizes the data received from the plurality of sensors to optimize the printing process, such as adjusting speed of the material deposition speed.
[0040] The user interface module (150) is operatively coupled to the control unit (140). The user interface module (150) is configured to allow a user to choose between an automated mode and a manual operation mode to provide flexibility based on the user expertise and requirements for a corresponding biotechnological application. For example, the user printing complex tissue structures utilizes the automated mode to ensure consistent results without needing to monitor every step. On the other hand, the manual operation mode allows the user to intervene at various stages, such as adjusting printing parameters or customizing properties of the bioink properties based on specific needs.
[0041] Typically, the user interface module (150) provides real-time updates on the printing process and culturing of the plurality of cells. Further, the user interface module (150) also collects feedback from the user to refine the user experience and performance of the printer module (120).
[0042] The integration module (160) is operatively coupled to the user interface module (150). The integration module (160) is configured to integrate the printer module (120) with a laboratory information management system to enhance data tracking and project management.
[0043] The documentation module (170) is operatively coupled to the integration module (160). The documentation module (170) is configured to enable a compliance documentation printing process for regulatory purpose, ensuring that the printing process conforms to standards. The documentation module (170) is also configured to maintain a plurality of operation logs of the printing process for traceability and scientific reproducibility of the plurality of biomaterials.
[0044] It must be noted that the device (100) performs following decisions during the printing process.
• Automatically removing printed structure from the printer module (120) to the plurality of incubators for culturing.
• Calibrating a print surface for various types of print containers in an automated manner to ensure optimal printing conditions.
• Executing an automatic rerun of contamination detection protocol and notifying the user if contamination is detected.
• Checking viability of the plurality of cells.
• Automatically formulating the bioink by mixing the necessary biomaterials based on requirements of the printing process.
• Culturing the plurality of cells in cell plates and storing the plurality of cells in the plurality of incubators for controlled growth and development.
• Inspecting growth of the plurality of cells under a microscope and generating a report for cell viability.
[0045] FIG. 2 is a block diagram of an exemplary embodiment of system for headgear detection and dynamic weight distribution in a vehicle in accordance with an embodiment of the present disclosure. Further, the processing subsystem (105) includes an analytics module (180), an bioink manufacturing unit (190) and an diagnostics module (200).
[0046] The analytics module (180) is operatively coupled to the printer module (120). The analytics module (180) is configured to analyze the data of the printing process and formulation of the bioink by utilizing a machine learning model. For example, if the analytics module (180) detects that the bioink mixture consistently leads to uneven cell distribution, the machine learning model adjusts formula or suggests tweaks for better results. Over time, the device (100) learns from previous prints, optimizing the printing process to produce accurate and reliable outcomes, helping the user to achieve the organoids with minimal manual adjustments.
[0047] The bioink manufacturing unit (190) is operatively coupled to the printer module (120). The bioink manufacturing unit (190) is adapted to perform a plurality of mechanisms. The plurality of mechanisms is adapted to perform opening appendages, shaking appendages, employing magnetic stirrers, vibrating, using a thermocycler unit, and integrating a physical stirrer unit. The bioink manufacturing unit (190) is adapted to mix the plurality of biomaterials.
[0048] The diagnostics module (200) is operatively coupled to the printer module (120). The diagnostics module (200) is configured to calibrate the printer module (120), robotic arm, and the plurality of sensors prior to the printing process.
[0049] In an example, consider a scenario where user 'X' utilizes the printing module (120) of the device (100) to print complex tissue structures for a biotechnological application. The printer module (120) simultaneously prints the plurality of cells from the plurality of biomaterials, using a combination of the thermoplastic material and the bioink, to form intricate organoids. Throughout the printing process, the device (100) employs the artificial intelligence technique to dynamically adapt the bioink properties based on real-time analysis of the plurality of cells, ensuring optimal conditions for intended biotechnological use. Additionally, the device (100) continuously monitors environmental conditions and the material deposition accuracy, adjusting the plurality of parameters in response to detected anomalies or deviations from the CAD files. This ensures high precision and adaptability during the printing process. Once printing is completed, a plurality of robotic arms (130) automatically transfers the plurality of cells to the plurality of incubators equipped with the plurality of sensors and the camera. The plurality of incubators, featuring microfluidic chips, regulate various environmental factors like oxygen and light, while capturing real-time images to monitor activity of the plurality of cells. The control unit (140) analyzes data from the sensors and manages communication with the neural network model, enabling real-time adjustments and ensuring effective operation. Moreover, the user X can interact with the system through the user interface module (150), choosing between automated and manual modes based on the biotechnological application. Further, the integration module (160) integrates the printer module (120) with a laboratory information management system to enhance data tracking and project management. The above integrated setup, along with the analytics module (180) and bioink manufacturing unit (190), enhances the efficiency and accuracy of the printing process, while the documentation module (170) ensures compliance and traceability, making it a powerful tool for advanced cellular research and biotechnological applications. Moreover, the diagnostics module (200) calibrates the printer module (120), the plurality of robotic arms (130), and the plurality of sensors prior to the printing process.
[0050] FIG. 3 illustrates a schematic representation of a device for bioink cartridge handler in accordance with an embodiment of the present disclosure. The device (100) includes an bio ink cartridge (500), bio ink cartridge handler(heating/cooling) (505), front robotic arm Z-axis (510), thermoplastic Ink cartridge (515), Print bed (520), Print bed temperature control unit (525), front robotic arm unit 2 (530), front robotic arm unit 2 - with pick and place of 6 degrees of freedom arm (540), mainframe to make the whole system isolated (545), plurality of incubators (550), 6 degrees of freedom robotic arm (555), 12 smart clustered incubator unit (560), 6 degrees of robotic arm, front robotic arm X-axis (565), 6 degrees of freedom robotic arm (570), print bed handler (motion system) (575), front robotic arm X-axis (580), pick and place unit for the plurality of robotic arms (130), bio ink cartridge handler(heating/cooling) (590).
[0051] FIG. 4 illustrates a schematic representation of a device for thermoplastic cartridge handler in accordance with an embodiment of the present disclosure. The device (100) includes a thermoplastic Ink cartridge (600), thermoplastic ink cartridge handler (610), main frame (615), from robotic arm (620), 6 dof arm (625), pick and place unit for robotic unit (630), print bed handler (635), front robotic arm Z-axis (640), print bed temperature control unit (645), front robotic arm X-axis (650), 6 dof arm (655), 6 dof arm (660), thermoplastic ink cartridge handler(heating/cooling) (665).
[0052] FIG. 5 illustrates a schematic representation of exemplary embodiment of a device with an embodiment of the present disclosure. The device (100) includes a waste management unit (700), pressure control unit (710), and a temperature control unit (720).
[0053] FIG. 6 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure. The server (108) includes processor(s) (230), and memory (210) operatively coupled to the bus (220). The processor(s) (230), as used herein, means any type of computational circuit, such as, but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.
[0054] The memory (210) includes several subsystems stored in the form of executable program which instructs the processor (230) to perform the method steps illustrated in FIG. 1. The memory (210) includes a processing subsystem (105) of FIG.1. The processing subsystem (105) further has following modules: a printer module (120), a plurality of robotic arms (130), a control unit (140), a user interface module (150), an integration module (160), and a documentation module (170).
[0055] The printer module (120) configured to print a plurality of cells from a plurality of biomaterials simultaneously by utilizing a thermoplastic material and a bioink, wherein the plurality of cells are combined to form tissues and biomaterials for potentially printing a plurality of organoids. The printer module (120) is also configured to utilize an artificial intelligence technique to adapt a plurality of properties in the bioink based on characteristics of the plurality of cells, thereby facilitating customization of the plurality of properties for a corresponding biotechnological application. Further, the printer module (120) is configured to monitor an environmental condition and the material deposition accuracy of the plurality of biomaterials in real-time during a printing process. Further, the printer module (120) is configured to dynamically adjust a plurality of parameters in response to one or more detected anomalies or deviations from a computer-aided design files uploaded by a user in the printing process. Further, the processing subsystem (105) includes a plurality of robotic arms (130) operatively coupled to the printer module (120) wherein the plurality of robotic arms (130) is configured to shift the plurality of biomaterials to a plurality of incubators for culturing by the plurality of robotic arms (130), wherein the plurality of incubators includes a plurality of sensors and a camera to capture one or more images of the plurality of biomaterials at a predetermined time to monitor activity of the plurality of biomaterials, wherein the plurality of incubators includes microfluidic chip, for controlling oxygen, nitrogen, sound, light, and vibration levels. Furthermore, the processing subsystem (105) includes a control unit (140) operatively coupled to the plurality of robotic arms (130) wherein the control unit (140) is configured to collect and analyze a data received from the plurality of sensors. The control unit (140) is also configured to control a microcontroller operatively coupled to the printer module (120) in real-time thereby facilitating communication between the microcontroller and the neural network model. Moreover, the processing subsystem (105) includes a user interface module (150) operatively coupled to the control unit (140) wherein the user interface module (150) is configured to allow a user to choose between an automated mode and a manual operation mode to provide flexibility based on the user expertise and requirements for a corresponding biotechnological application. The processing subsystem (105) includes an integration module (160) operatively coupled to the user interface module (150) wherein the integration module (160) is configured to integrate the printer module (120) with a laboratory information management system to enhance data tracking and project management. Further, the processing subsystem (105) includes a documentation module (170) operatively coupled to the integration module (160) wherein the documentation module (170) is configured to enable a compliance documentation printing process for regulatory purpose, ensuring that the printing process conforms standards. The documentation module (170) is also configured to maintain a plurality of operation logs of the printing process for traceability and scientific reproducibility of the plurality of biomaterials.
[0056] The bus (220) as used herein refers to internal memory channels or computer network that is used to connect computer components and transfer data between them. The bus (220) includes a serial bus or a parallel bus, wherein the serial bus transmits data in bit-serial format and the parallel bus transmits data across multiple wires. The bus (220) as used herein, may include but not limited to, a system bus, an internal bus, an external bus, an expansion bus, a frontside bus, a backside bus, and the like.
[0057] FIG. 7a illustrates a flow chart representing the steps involved in a method for cellular behavior analysis in accordance with an embodiment of the present disclosure. FIG. 7b illustrates a flow chart illustrating continued steps of the method of FIG. 7 (a) in accordance with an embodiment of the present disclosure.
[0058] The method (400) includes printing, by a printer module, a plurality of cells from a plurality of biomaterials simultaneously by utilizing a thermoplastic material and a bioink, wherein the plurality of cells are combined to form tissues and biomaterials for potentially printing a plurality of organoids in step 410.
[0059] The method (400) also includes utilizing, by the printer module, an artificial intelligence technique to adapt a plurality of properties in the bioink based on characteristics of the plurality of cells, thereby facilitating customization of the plurality of properties for a corresponding biotechnological application in step 420.
[0060] Further, the method (400) includes monitoring, by the printer module, an environmental condition and a material deposition accuracy of the plurality of biomaterials in real-time during a printing process in step 430.
[0061] Further, the method (400) also includes adjusting, by the printer module, a plurality of parameters in response to one or more detected anomalies or deviations from a computer-aided design files uploaded by a user in the printing process in step 440.
[0062] In one embodiment, the printing module includes at least 2-6 degrees of freedom robotic arms to replicate the user movements in the printing process.
[0063] In another embodiment, the printer module is adapted to utilize the computer-aided design files of the plurality of cells uploaded by the user. The printer module is also configured to perform slicing of the computer-aided design files for on-board printing.
[0064] The method (400) includes shifting, by a plurality of robotic arms, the plurality of biomaterials to a plurality of incubators for culturing by the plurality of robotic arms, wherein the plurality of incubators includes a plurality of sensors and a camera to capture one or more images of the plurality of biomaterials at a predetermined time to monitor activity of the plurality of biomaterials, wherein the plurality of incubators includes microfluidic chip, for controlling oxygen, nitrogen, sound, light, and vibration levels in step 450.
[0065] The method (400) includes collecting and analyzing, by a control unit, a data received from the plurality of sensors in step 460.
[0066] Further, the method (400) includes controlling, by the control unit, a microcontroller in real-time thereby facilitating communication between the microcontroller and the neural network model in step 470.
[0067] Additionally, the method (400) includes allowing, by a user interface module, a user to choose between an automated mode and a manual operation mode to provide flexibility based on the user expertise and requirements for a corresponding biotechnological application in step 480.
[0068] In one embodiment, the user interface module is configured to provide real-time updates on the printing process and culturing of the plurality of cells.
[0069] Yet, in another embodiment the user interface module is configured to collect feedback from the user to refine the user experience and performance of the printer module.
[0070] Further, the method (400) includes integrating, by an integration module, the printer module with a laboratory information management system to enhance data tracking and project management in step 490.
[0071] Furthermore, the method (400) includes enabling, by a documentation module, a compliance documentation printing process for regulatory purpose, ensuring that the printing process conforms to standards in step 500.
[0072] The method (400) includes maintaining, by the documentation module, a plurality of operation logs of the printing process for traceability and scientific reproducibility of the plurality of biomaterials in step 510.
[0073] Various embodiments of the device (100) for cellular behavior analysis as described above enhances overall functionality of the device (100). The printer module (120) allows simultaneous printing of the plurality of biomaterials, while using AI to adapt bioink properties based on the characteristics of the plurality of cells, leading to precise and customizable printing for various applications. The plurality of robotic arms (130) enables efficient handling and transfer of printed plurality of biomaterials to the plurality of incubators, ensuring accurate and smooth operations during culturing of the plurality of cells. The control unit (140) enhances control and communication, analyzing sensor data to make real-time adjustments for optimal printing and culturing conditions. The user interface module (150) provides flexibility, offering both automated and manual modes, allowing the user with different expertise levels to operate the device (100) effectively. The integration module (160) connects the printer module (120) to a laboratory information management system (LIMS), improving data tracking, project management, and traceability throughout the printing process. The documentation module (170) ensures compliance by keeping detailed records of operations, making the printing process traceable and reproducible, which is crucial for regulatory purposes.
[0074] The techniques described in this disclosure may be implemented, at least in part, in hardware, software, firmware, or any combination thereof. For example, various aspects of the described techniques may be implemented within one or more processors, including one or more microprocessors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or any other equivalent integrated or discrete logic circuitry, as well as any combinations of such components. The term "processor" or "processing subsystem" may generally refer to any of the foregoing logic circuitry, alone or in combination with other logic circuitry, or any other equivalent circuitry. A control unit including hardware may also perform one or more of the techniques of this disclosure.
[0075] Such hardware, software, and firmware may be implemented within the same device or within separate devices to support the various techniques described in this disclosure. In addition, any of the described units, modules, or components may be implemented together or separately as discrete but interoperable logic devices. Depiction of different features as modules or units is intended to highlight different functional aspects and does not necessarily imply that such modules or units must be realized by separate hardware, firmware, or software components. Rather, functionality associated with one or more modules or units may be performed by separate hardware, firmware, or software components, or integrated within common or separate hardware, firmware, or software components.
[0076] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the disclosure and are not intended to be restrictive thereof.
[0077] While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.
[0078] The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, the order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.
, Claims:1. A device (100) for cellular behaviour analysis comprising:
characterized in that,
a processing subsystem (105) hosted on a server (108) wherein the processing subsystem (105) is configured to execute on a network (115) to control bidirectional communications among a plurality of modules comprising:
a printer module (120) configured to:
print a plurality of cells from a plurality of biomaterials simultaneously by utilizing a thermoplastic material and a bioink, wherein the plurality of cells are combined to form tissues and biomaterials for potentially printing a plurality of organoids;
utilize an artificial intelligence technique to adapt a plurality of properties in the bioink based on characteristics of the plurality of cells, thereby facilitating customization of the plurality of properties for a corresponding biotechnological application;
monitor an environmental condition and a material deposition accuracy of the plurality of biomaterials in real-time during a printing process; and
dynamically adjust a plurality of parameters in response to one or more detected anomalies or deviations from a computer-aided design files uploaded by a user in the printing process;
a plurality of robotic arms (130) operatively coupled to the printer module (120) wherein the plurality of robotic arms (130) is configured to shift the plurality of biomaterials to a plurality of incubators for culturing by the plurality of robotic arms (130), wherein the plurality of incubators comprises a plurality of sensors and a camera to capture one or more images of the plurality of biomaterials at a predetermined time to monitor activity of the plurality of biomaterials, wherein the plurality of incubators comprises microfluidic chip, for controlling oxygen, nitrogen, sound, light, and vibration levels;
a control unit (140) operatively coupled to the plurality of robotic arms (130) wherein the control unit (140) is configured to:
collect and analyze a data received from the plurality of sensors; and
control a microcontroller operatively coupled to the printer module (120) in real-time thereby facilitating communication between the microcontroller and a neural network model;
a user interface module (150) operatively coupled to the control unit (140) wherein the user interface module (150) is configured to allow a user to choose between an automated mode and a manual operation mode to provide flexibility based on the user expertise and requirements for a corresponding biotechnological application;
an integration module (160) operatively coupled to the user interface module (150) wherein the integration module (160) is configured to integrate the printer module (120) with a laboratory information management system to enhance data tracking and project management; and
a documentation module (170) operatively coupled to the integration module (160) wherein the documentation module (170) is configured to:
enable a compliance documentation printing process for regulatory purpose, ensuring that the printing process conforms standards; and
maintain a plurality of operation logs of the printing process for traceability and scientific reproducibility of the plurality of biomaterials.
2. The device (100) as claimed in claim 1, wherein the user interface module (150) is configured to:
provide real-time updates on the printing process and culturing of the plurality of cells; and
collect feedback from the user to refine the user experience and performance of the printer module (120).
3. The device (100) as claimed in claim 1, comprising an analytics module (180) operatively coupled to the printer module (120) wherein the analytics module (180) is configured to analyze the data of the printing process and formulation of the bioink by utilizing a machine learning model.
4. The device (100) as claimed in claim 1, wherein the printing module comprises at least 2-6 degrees of freedom robotic arms to replicate the user movements in the printing process.
5. The device (100) as claimed in claim 1, comprising a bioink manufacturing unit (190) operatively coupled to the printer module (120) wherein the bioink manufacturing unit (190) adapted to perform a plurality of mechanisms wherein the plurality of mechanisms is adapted to perform opening appendages, shaking appendages, employing magnetic stirrers, vibrating, using a thermocycler unit, and integrating a physical stirrer unit wherein the bioink manufacturing unit (190) is adapted to mix the plurality of biomaterials.
6. The device (100) as claimed in claim 1, comprising a diagnostics module (200) operatively coupled to the printer module (120) wherein the diagnostics module (200) is configured to calibrate the printer module (120), the plurality of robotic arms (130), and the plurality of sensors prior to the printing process.
7. The device (100) as clamed in claim 1, wherein the printer module (120) is adapted to:
utilize the computer-aided design files of the plurality of cells uploaded by the user; and
perform slicing of the computer-aided design files for on-board printing.
8. A method (400) for cellular behavior analysis comprising:
characterized in that,
printing, by a printer module, a plurality of cells from a plurality of biomaterials simultaneously by utilizing a thermoplastic material and a bioink, wherein the plurality of cells are combined to form tissues and biomaterials for potentially printing a plurality of organoids; (410)
utilizing, by the printer module, an artificial intelligence technique to adapt a plurality of properties in the bioink based on characteristics of the plurality of cells, thereby facilitating customization of the plurality of properties for a corresponding biotechnological application; (420)
monitoring, by the printer module, an environmental condition and a material deposition accuracy of the plurality of biomaterials in real-time during a printing process; (430)
adjusting, by the printer module, a plurality of parameters in response to one or more detected anomalies or deviations from a computer-aided design files uploaded by a user in the printing process; (440)
shifting, by a plurality of robotic arms, the plurality of biomaterials to a plurality of incubators for culturing by the plurality of robotic arms, wherein the plurality of incubators comprises a plurality of sensors and a camera to capture one or more images of the plurality of biomaterials at a predetermined time to monitor activity of the plurality of biomaterials, wherein the plurality of incubators comprises microfluidic chip, for controlling oxygen, nitrogen, sound, light, and vibration levels; (450)
collecting and analyzing, by a control unit, a data received from the plurality of sensors; (460)
controlling, by the control unit, a microcontroller in real-time thereby facilitating communication between the microcontroller and the neural network model; (470)
allowing, by a user interface module, a user to choose between an automated mode and a manual operation mode to provide flexibility based on the user expertise and requirements for a corresponding biotechnological application; (480)
integrating, by an integration module, the printer module with a laboratory information management system to enhance data tracking and project management; (490)
enabling, by a documentation module, a compliance documentation printing process for regulatory purpose, ensuring that the printing process conforms standards; (500) and
maintaining, by the documentation module, a plurality of operation logs of the printing process for traceability and scientific reproducibility of the plurality of biomaterials. (510)
Dated this 15th day of November 2024
Signature
Prakriti Bhattacharya
Patent Agent (IN/PA-5178)
Agent for the Applicant
Documents
Name | Date |
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202441088517-FORM-26 [09-12-2024(online)].pdf | 09/12/2024 |
202441088517-FORM 18A [18-11-2024(online)].pdf | 18/11/2024 |
202441088517-FORM-8 [18-11-2024(online)].pdf | 18/11/2024 |
202441088517-FORM28 [18-11-2024(online)].pdf | 18/11/2024 |
202441088517-STARTUP [18-11-2024(online)].pdf | 18/11/2024 |
202441088517-COMPLETE SPECIFICATION [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-DECLARATION OF INVENTORSHIP (FORM 5) [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-DRAWINGS [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-EVIDENCE FOR REGISTRATION UNDER SSI [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-FORM 1 [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-FORM FOR SMALL ENTITY(FORM-28) [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-FORM FOR STARTUP [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-FORM-9 [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-POWER OF AUTHORITY [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-PROOF OF RIGHT [15-11-2024(online)].pdf | 15/11/2024 |
202441088517-REQUEST FOR EARLY PUBLICATION(FORM-9) [15-11-2024(online)].pdf | 15/11/2024 |
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