Nature Communications (Mar 2022)
Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts
- Lauren Schiff,
- Bianca Migliori,
- Ye Chen,
- Deidre Carter,
- Caitlyn Bonilla,
- Jenna Hall,
- Minjie Fan,
- Edmund Tam,
- Sara Ahadi,
- Brodie Fischbacher,
- Anton Geraschenko,
- Christopher J. Hunter,
- Subhashini Venugopalan,
- Sean DesMarteau,
- Arunachalam Narayanaswamy,
- Selwyn Jacob,
- Zan Armstrong,
- Peter Ferrarotto,
- Brian Williams,
- Geoff Buckley-Herd,
- Jon Hazard,
- Jordan Goldberg,
- Marc Coram,
- Reid Otto,
- Edward A. Baltz,
- Laura Andres-Martin,
- Orion Pritchard,
- Alyssa Duren-Lubanski,
- Ameya Daigavane,
- Kathryn Reggio,
- NYSCF Global Stem Cell Array® Team,
- Phillip C. Nelson,
- Michael Frumkin,
- Susan L. Solomon,
- Lauren Bauer,
- Raeka S. Aiyar,
- Elizabeth Schwarzbach,
- Scott A. Noggle,
- Frederick J. Monsma,
- Daniel Paull,
- Marc Berndl,
- Samuel J. Yang,
- Bjarki Johannesson
Affiliations
- Lauren Schiff
- Google Research
- Bianca Migliori
- The New York Stem Cell Foundation Research Institute
- Ye Chen
- Google Research
- Deidre Carter
- The New York Stem Cell Foundation Research Institute
- Caitlyn Bonilla
- Google Research
- Jenna Hall
- The New York Stem Cell Foundation Research Institute
- Minjie Fan
- Google Research
- Edmund Tam
- The New York Stem Cell Foundation Research Institute
- Sara Ahadi
- Google Research
- Brodie Fischbacher
- The New York Stem Cell Foundation Research Institute
- Anton Geraschenko
- Google Research
- Christopher J. Hunter
- The New York Stem Cell Foundation Research Institute
- Subhashini Venugopalan
- Google Research
- Sean DesMarteau
- The New York Stem Cell Foundation Research Institute
- Arunachalam Narayanaswamy
- Google Research
- Selwyn Jacob
- The New York Stem Cell Foundation Research Institute
- Zan Armstrong
- Google Research
- Peter Ferrarotto
- The New York Stem Cell Foundation Research Institute
- Brian Williams
- Google Research
- Geoff Buckley-Herd
- The New York Stem Cell Foundation Research Institute
- Jon Hazard
- Google Research
- Jordan Goldberg
- The New York Stem Cell Foundation Research Institute
- Marc Coram
- Google Research
- Reid Otto
- The New York Stem Cell Foundation Research Institute
- Edward A. Baltz
- Google Research
- Laura Andres-Martin
- The New York Stem Cell Foundation Research Institute
- Orion Pritchard
- Google Research
- Alyssa Duren-Lubanski
- The New York Stem Cell Foundation Research Institute
- Ameya Daigavane
- Google Research
- Kathryn Reggio
- The New York Stem Cell Foundation Research Institute
- NYSCF Global Stem Cell Array® Team
- Phillip C. Nelson
- Google Research
- Michael Frumkin
- Google Research
- Susan L. Solomon
- The New York Stem Cell Foundation Research Institute
- Lauren Bauer
- The New York Stem Cell Foundation Research Institute
- Raeka S. Aiyar
- The New York Stem Cell Foundation Research Institute
- Elizabeth Schwarzbach
- The New York Stem Cell Foundation Research Institute
- Scott A. Noggle
- The New York Stem Cell Foundation Research Institute
- Frederick J. Monsma
- The New York Stem Cell Foundation Research Institute
- Daniel Paull
- The New York Stem Cell Foundation Research Institute
- Marc Berndl
- Google Research
- Samuel J. Yang
- Google Research
- Bjarki Johannesson
- The New York Stem Cell Foundation Research Institute
- DOI
- https://doi.org/10.1038/s41467-022-28423-4
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 13
Abstract
By coupling robotic cell culture systems with artificial intelligence–powered image analysis, Schiff et al. identify previously unseen characteristics of Parkinson’s disease in patient skin cells that distinguish them from healthy controls.
