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