journal article·2022-05Open access

Deep Learning‐Assisted Automated Single Cell Electroporation Platform for Effective Genetic Manipulation of Hard‐to‐Transfect Cells (Small 20/2022)

Prithvijit Mukherjee, Cesar A. Patino, Nibir Pathak, Vincent Lemaitre, Horacio D. Espinosa

Small· Volume 18· Issue 20

Abstract

Genetic Manipulation In article number 2107795, Horacio D. Espinosa and co-workers present an automated nanopipette-based single cell electroporation system using arrays of microwells, a deep convolutional neural network for cell nuclei localization, and hardware and software for cell–nanopipette contact detection. The system enables CRISPR/Cas9 gene editing and cell perturbation studies with unprecedented throughput, efficiency, and cell viability. Applications include generation of isogenic cell lines, delivery of plasmids for reporter expression, and Cas9 ribonucleoprotein complexes for gene knockout.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: CRISPR and Genetic Engineering · Microbial Inactivation Methods

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering Northwestern University Evanston IL 60208 USA

Theoretical and Applied Mechanics Program Northwestern University Evanston IL 60208 USA

iNfinitesimal LLC Skokie IL 60077 USA

References

Reference metadata was not supplied for this record.