Berkeley Lights, Inc.

Bruker Cellular Analysis, Inc.

Kellen C Mobilia

Jason M McEwen

Volker L S Kurz

Alexander J Mastroianni

Joshua J Cardiel Rivera

Troy A Lionberger

Brandon R Bruhn

Matthew E Fowler

Darshan Thaker

Samira A Nedungadi

Nenad Bozinovic

Daniel A Banda Villanueva

Eric K Sackmann

Systems, methods, and kits therefor, enabling rapid protein evolution are described herein. A system useful in the methods described herein include a DNA synthesis component; a microfluidic system including a microfluidic device having a microfluidic channel and sequestration pens; and a computing component, which is configured to analyze assay results and, based upon the analysis, design improved DNA sequences for iterative protein evolution. The microfluidic system is configured to permit correlation of DNA sequence on a bead to its location within the microfluidic device, permit cell free protein expression of a DNA sequence captured to a bead, and to permit assay of the protein so produced.

Systems and methods for identification of optimized protein production and kits therefor

In biosciences and related fields, it can be useful to study cells in isolation so that cells having unique and desirable properties can be identified within a heterogenous mixture of cells. Processes and methods disclosed herein provide for encapsulating cells within a microfluidic device and assaying the encapsulated cells. Encapsulation can, among other benefits, facilitate analyses of cells that generate secretions of interest which would otherwise rapidly diffuse away or mix with the secretions of other cells.

Methods for encapsulating and assaying cells

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.

Systems and methods for optimizing an instrument system workflow

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Dublin, CA, United States of America

Kellen C Mobilia