Events

CytoData-2019

Schedule of event:

29/10/2019, 09:00

More event dates:

Show all event dates:
28/10/2019, 09:00
30/10/2019, 09:00

Organizer:

CytoData Society / Boutros Lab

Language:

english

Description:

As in previous years (2016, 2017, 2018), CytoData brings together the community of researchers mining microscopy image data. We recently formed the CytoData Society (CytoDS) 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 2018 will be a great venue to connect with this community, exchange ideas, and learn from experts in the field.

Attendees will join together for a one-day symposium with seminars, lectures and social events followed by a two-day hackathon. We aspire to gather a diverse and engaged group of both image-based profiling experts, and members of related fields. Everyone involved will be an active contributor (even if remote), no passive absorption of others’ ideas allowed! We assume participants will be willing to share their analysis strategies, given that each laboratory’s “competitive advantage” in this field does not come from their data pre-processing pipeline but rather from computational techniques downstream of the steps covered in the event, and from biological discoveries derived from their unique data.

Venue:

K2, DKFZ Communication Center

Registration necessary:

Yes

Registration deadline:

08/30/2019

Registration fee:

0,00 €

How to get there:

Upstairs of the large lecture hall

Further information:

The CytoData Society (CytoDS) is an international society that builds and maintains an active community around image-based profiling of biological phenotypes induced by genetic, chemical or other perturbations of biological systems. This field is still in its infancy, and its adoption has been slow, primarily due to the data analysis challenges posed, the large imaging experiments required, and the lack of ground-truth data sets where relationships among images are known. Our goal is, therefore, to bring image-based profiling into the mainstream by organizing the community working on this technology.

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