Berkeley Lights, Inc.

Bruker Cellular Analysic, Inc.

Thomas M Vetterli

John A Tenney

Hansohl E Kim

Vincent Haw Tien Pai

Keith J Breinlinger

Peter J Beemiller

Natalie C Marks

Guido K Stadler

Yelena Bronevetsky

Hayley M Bennett

Darshan Thaker

Khrystyna Andres

Alona Kostenko

Andriy Koval

Christoph Andreas Neyer

Annamaria Mocciaro

Jason M Mcewen

Alexander Gerald Olson

Amanda L Goodsell

Elisabeth Marie Walczak

Wesley Arthur Zink

Duane Smith

Oleksandr Tokmakov

Igor Fastnacht

Yuriy Nicheporuk

Methods are provided for the assay of secreted biomolecules using automated detection and characterization of micro-objects in a microfluidic device. The biomolecules can be secreted by cells, particularly immunological cells, such as T cells. The biomolecules being assayed can include cytokines, growth factors, and the like. Methods are also provided for assaying the cytotoxicity of a cell with respect to another, target cell. Also provided are kits and non-transitory computer-readable media in which programs are stored for causing a system comprising a computer to perform automated methods for detecting secreted biomolecules and/or cytotoxicity in a microfluidic device.

Methods for assaying biological cells in a microfluidic device

Methods are provided for the automated detection, characterization, and selection of micro-objects in a microfluidic device. In addition, methods are provided for grouping detected micro-objects into subgroups that share the same characteristics and, optionally, repositioning micro-objects in a selected sub-population within the microfluidic device. For example, micro-objects in a selected sub-population can be moved into sequestration pens. The methods also provide for visual displays of the micro-object characteristics, such as two- or three-dimensional graphs, and for user-based definition and/or selection of sub-populations of the detected micro-objects. In addition, non-transitory computer-readable medium in which a program is stored and systems for carrying out any of the disclosed methods are provided.

Automated detection and characterization of micro-objects in microfluidic devices

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).

Systems and methods for analyses of biological samples

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Emeryville, CA, United States of America

Thomas M Vetterli