Abstract: Disclosed herein are methods for performing assays, including general functional assays, on a biological cell. Also disclosed herein are methods of barcoding the 5? ends of RNA from a biological cell and methods of preparation of expression constructs from the barcoded RNA. The barcoded RNA can encode proteins of interest, such as B cell receptor (BCR) heavy and light chain sequences. The expression constructs can be generated individually or in a paired/multiplexed manner, allowing rapid re-expression of individual proteins or protein complexes.

Abstract: 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).

Abstract: 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).

Abstract: Methods of selectively positioning a micro-object in a microfluidic device are described in this application. The microfluidic device can comprise an enclosure having an inlet, an outlet, and a flow region connecting the inlet and outlet, and an electrode activation substrate having a photoconductive layer.

Abstract: Systems for operating a microfluidic device are described. The systems comprise a first surface configured to interface and operatively couple with a microfluidic device and a lid configured to retain the microfluidic device on the first surface. The lid comprises a first portion having a first fluid port configured to operatively couple with and flow fluidic medium into and/or out of a first fluid inlet/outlet of the microfluidic device and a second portion having a second fluid port configured to operatively couple with and flow fluidic medium into and/or out of a second fluid inlet/outlet of the microfluidic device. The second portion of the lid is separable from the first portion and movable between a closed position in which the second fluid port of the second portion of the cover is operatively coupled with the second fluid inlet/outlet of the microfluidic device and an open position in which a portion of the microfluidic device that contains the second fluid inlet/outlet is exposed.

Abstract: 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).

Abstract: Methods and systems are provided useful in various procedures, including hair harvesting and implantation, and further including computer-implemented and/or robotic hair transplantation. Methodologies are provided which enable a tool, such as a hair harvesting or a hair implantation tool, to proceed at least under a partial computer control in a selected direction of travel along a donor or recipient area of the patient, as well as changing direction of travel based on desired harvesting and/or implantation criteria.

Abstract: Methods, systems and kits are described herein for detecting the results of an assay. In particular, the methods, systems and devices of the present disclosure rely on a difference between the diffusion rates of a reporter molecule and an analyte of interest in order to quantify an amount of analyte in a microfluidic device. The analyte may be a secreted product of a biological micro-object.

Abstract: Optically-actuated microfluidic devices permit the use of spatially-modulated light to manipulate micro-objects such as biological cells. Systems and methods are described for providing sequences of light patterns to move and direct a plurality of micro-objects within the environment of a microfluidic device. The sequenced light patterns provide improved efficiency in directing the transport of the plurality of micro-objects. Other embodiments are described.

Abstract: Methods are provided for the automated detection and/or counting of micro-objects in a microfluidic device. In addition, methods are provided for repositioning micro-objects in a microfluidic device. In addition, methods are provided for separating micro-objects in a spatial region of the microfluidic device.

Abstract: Methods, systems and kits are described herein for detecting the results of an assay. In particular, the methods, systems and devices of the present disclosure rely on a difference between the diffusion rates of a reporter molecule and an analyte of interest in order to quantify an amount of analyte in a microfluidic device. The analyte may be a secreted product of a biological micro-object.

Abstract: 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.

Abstract: Methods are provided for the automated detection and/or counting of micro-objects in a microfluidic device. In addition, methods are provided for repositioning micro-objects in a microfluidic device. In addition, methods are provided for separating micro-objects in a spatial region of the microfluidic device.

Abstract: 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).

Abstract: Optically-actuated microfluidic devices permit the use of spatially-modulated light to manipulate micro-objects such as biological cells. Systems and methods are described for providing sequences of light patterns to move and direct a plurality of micro-objects within the environment of a microfluidic device. The sequenced light patterns provide improved efficiency in directing the transport of the plurality of micro-objects. Other embodiments are described.

Abstract: 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.

Abstract: Methods are provided for the automated detection of micro-objects in a microfluidic device. In addition, methods are provided for repositioning micro-objects in a microfluidic device. In addition, methods are provided for separating micro-objects in a spatial region of the microfluidic device.

Abstract: Methods are provided for the automated detection of micro-objects in a microfluidic device. In addition, methods are provided for repositioning micro-objects in a microfluidic device. In addition, methods are provided for separating micro-objects in a spatial region of the microfluidic device.

Abstract: Optically-actuated microfluidic devices permit the use of spatially-modulated light to manipulate micro-objects such as biological cells. Systems and methods are described for providing sequences of light patterns to move and direct a plurality of micro-objects within the environment of a microfluidic device. The sequenced light patterns provide improved efficiency in directing the transport of the plurality of micro-objects. Other embodiments are described.

Abstract: Methods are provided for the automated detection and/or counting of micro-objects in a microfluidic device. In addition, methods are provided for repositioning micro-objects in a microfluidic device. In addition, methods are provided for separating micro-objects in a spatial region of the microfluidic device.