High-speed cell partitioning through reactive machine learning-guided inkjet printing

Résumé fourni par la source

fluorescent imaging of cell lines confirmed a classification accuracy of 98.7%, at a rate of 0.52 seconds per single cell, under tuned spotting parameters. Genomic analysis showed low background contamination and high coverage uniformity across the genome, enabling detection of chromosomal copy number alterations. With data tracing capabilities and a convenient user interface, we expect the Isolatrix to enable large-scale profiling of a range of genomic data modalities.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.