CYTO 2017 Challenge

CYTO 2017 Image analysis challenge

Description: In a time when vast amounts of bioimaging data are produced in labs around the globe every day, effectively extracting salient information from this growing resource is paramount to understanding complex biological questions. In this challenge, you have the opportunity to attempt a series of automated classification tasks for fluorescence microscopy data and present your findings during the final platform session at CYTO 2017.

Prizes: In addition to the satisfaction of besting the challenges, prizes for winners may include complimentary registration to CYTO 2018 in Prague, complimentary ISAC membership and the possibility of participating in a paper published on the challenge in Cytometry Part A.

The Dataset: The image data provided in this challenge were generated by the Cell Atlas (Thul et al. "A subcellular map of the human proteome", Science, in press.), part of the Human Protein Atlas database www.proteinatlas.org (Uhlen et al. 2010). The images visualize immunostaining of human proteins and the aim of this challenge is to recognize the patterns of protein subcellular distribution to major organelles and fine substructures. All images were acquired in a standardized manner using Leica SP5 confocal microscopes using a 63x/1.2 NA oil objective and Nyquist sampling rate in 4 fluorescence channels. Each field of view is comprised of 4 images. This includes 3 reference channels; DAPI for the nucleus ("blue"), antibody based staining of microtubules ("red"), and endoplasmic reticulum ("yellow"). These can be used to aid you in predicting localizations of the protein of interest ("green").

For more details and to download the data, visit: www.proteinatlas.org/CYTO_challenge2017/