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公开(公告)号：US11802883B2
公开(公告)日：2023-10-31
申请号：US16882331
申请日：2020-05-22
发明人： Darshan Thaker , Matthew E. Fowler , Samira A. Nedungadi , Daniel A. Banda Villanueva , Brandon R. Bruhn , Nenad Bozinovic , Kellen C. Mobilia
CPC分类号： G01N35/00623 , G01N35/00693 , G01N35/00871 , G06N20/00 , G01N2035/009 , G01N2035/0091
摘要： A system and a method for dynamically optimizing an instrument system workflow based on operational monitoring and managing of a workflow for a hardware system. The system includes instrument resources and sample chambers, each resource and chamber with a dedicated sensor configured to acquire data. The system further includes a computing device communicatively connected to the instrument resources and sample chambers. The computing device includes a software application or program comprising a workflow builder, an execution engine, an analytics engine, a virtual system modeling engine, and an optional machine learning engine.
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公开(公告)号：US20240272183A1
公开(公告)日：2024-08-15
申请号：US18369846
申请日：2023-09-19
发明人： Darshan Thaker , Matthew E. Fowler , Samira A. Nedungadi , Daniel Banda Villanueva , Brandon R. Bruhn , Nenad Bozinovic , Kellen C. Mobilia
CPC分类号： G01N35/00623 , G01N35/00693 , G01N35/00871 , G06N20/00 , G01N2035/009 , G01N2035/0091
摘要： A system and a method for dynamically optimizing an instrument system workflow based on operational monitoring and managing of a workflow for a hardware system. The system includes instrument resources and sample chambers, each resource and chamber with a dedicated sensor configured to acquire data. The system further includes a computing device communicatively connected to the instrument resources and sample chambers. The computing device includes a software application or program comprising a workflow builder, an execution engine, an analytics engine, a virtual system modeling engine, and an optional machine learning engine.
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公开(公告)号：US11521709B2
公开(公告)日：2022-12-06
申请号：US17325196
申请日：2021-05-19
发明人： Darshan Thaker , Keith J. Breinlinger , Vincent Haw Tien Pai , Christoph Andreas Neyer , Thomas M. Vetterli , Hayley M. Bennett , Elisabeth Marie Walczak , Alexander Gerald Olson , Wesley Arthur Zink , John A. Tenney , Oleksandr Tokmakov , Igor Fastnacht , Yuriy Nicheporuk , Andriy Koval , Khrystyna Andres , Alona Kostenko
摘要： Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).
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公开(公告)号：US20230282313A1
公开(公告)日：2023-09-07
申请号：US17971400
申请日：2022-10-21
发明人： Darshan Thaker , Keith J. Breinlinger , Vincent Haw Tien Pai , Christoph Andreas Neyer , Thomas M. Vetterli , Hayley M. Bennett , Elisabeth Marie Walczak , Alexander Gerald Olson , Wesley Arthur Zink , John A. Tenney , Oleksandr Tokmakov , Igor Fastnacht , Yuriy Nicheporuk , Andriy Koval , Khrystyna Andres , Alona Kostenko
CPC分类号： G16B40/20 , G16B45/00 , G16B30/20 , B01L3/502784 , G01N15/1463 , B01L2200/027
摘要： Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).
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公开(公告)号：US20210272654A1
公开(公告)日：2021-09-02
申请号：US17325196
申请日：2021-05-19
发明人： Darshan Thaker , Keith J. Breinlinger , Vincent Haw Tien Pai , Christoph Andreas Neyer , Thomas M. Vetterli , Hayley M. Bennett , Elisabeth Marie Walczak , Alexander Gerald Olson , Wesley Arthur Zink , John A. Tenney , Oleksandr Tokmakov , Igor Fastnacht , Yuriy Nicheporuk , Andriy Koval , Khrystyna Andres , Alona Kostenko
摘要： Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).
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公开(公告)号：US20200371126A1
公开(公告)日：2020-11-26
申请号：US16882331
申请日：2020-05-22
发明人： Darshan Thaker , Matthew E. Fowler , Samira A. Nedungadi , Daniel Banda, JR. , Brandon R. Bruhn , Nenad Bozinovic , Kellen C. Mobilia
摘要： A system and a method for dynamically optimizing an instrument system workflow based on operational monitoring and managing of a workflow for a hardware system. The system includes instrument resources and sample chambers, each resource and chamber with a dedicated sensor configured to acquire data. The system further includes a computing device communicatively connected to the instrument resources and sample chambers. The computing device includes a software application or program comprising a workflow builder, an execution engine, an analytics engine, a virtual system modeling engine, and an optional machine learning engine.
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