ANNOUNCEMENT

Join us for CytoData 2020!

We are thrilled to announce the fifth annual CytoData meeting, hosted virtually by Recursion!  As in previous years (2016 2017 2018 2019), the annual CytoData meeting brings together the growing community of researchers mining microscopy image data to make important biological discoveries.

The CytoData Society was formed to build and maintain an active community around image-based profiling of biological phenotypes induced by genetic, chemical or other perturbations of biological systems. CytoData 2020 will be a fantastic venue to connect with this community, exchange ideas, and learn from experts in the field.

AGENDA

Because of the COVID-19 pandemic, this year’s CytoData meeting will be held virtually.  Attendees will join together over video conference for an exciting two-day symposium. Each session will be approximately two hours long.

Wed Oct 21 Symposium Day 1: Applications [starts 7am PT/5pm EET]
Session 1: Immunology and COVID-19
Session 2: Applied machine learning for drug discovery 

Thur Oct 22 Symposium Day 2: Methods [starts 7am PT/5pm EET]
Session 3: Advances in ML techniques and datasets
Session 4: Experimental technical advances

CONFIRMED SPEAKERS

Lassi Paavolainen, Institute for Molecular Medicine Finland
Brandon White, Spring Discovery
Paula Marin-Zapata, Bayer AG
Eric Durand, Novartis Institutes for BioMedical Research
Réka Hollandi, Biological Research Centre, Szeged
Alan Moses, University of Toronto
Anne Carpenter, Broad Institute
Shantanu Singh, Broad Institute
Imran Haque, Recursion
Berton Earnshaw, Recursion

REGISTRATION

Register today and join us at CytoData 2020!

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CALL FOR ABSTRACTS | DEADLINE SEP 30, 2020

The organizers of CytoData 2020 invite all to submit abstracts describing computational methods to extract, process and analyze information from microscopy images. Primary consideration will be given to abstracts aligned with the topics of the Symposium sessions. Selected abstracts will be given time to present during one of the four Symposium sessions.

Session 1: Immunology and COVID-19
Session 2: Applied machine learning for drug discovery
Session 3: Advances in ML techniques and datasets
Session 4: Experimental technical advances

Deadline for submission is September 30, 2020.

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