Seminar on ScaiVision

Wednesday 12th December 2018, 14:30 - 16:00

Upcoming seminar / workshop on Deep learning for Mass & Flow Cytometry Data Analysis.

Speakers: Dr. Daniel Sonnleithner, Angelo Duò

Features of ScaiVision software and several use-cases will be presented. Additionally, there will be a live ScaiVision walk-through.

Please register to save a spot – sign up here: https://goo.gl/forms/ASdL385Ju6DZMB353

ScaiVision Company Profile

ScaiVision is an intuitive software for the analysis of single-cell data from Flow and Mass Cytometry (and more single-cell data types in the future). It utilizes convolutional neural networks to detect condition-associated cell subsets from high-dimensional single-cell data. This algorithm builds on developments in artificial intelligence and utilizes deep learning to identify conditions (e.g. disease or drug response) associated with cell populations. The network is built to learn the relationship between input data (e.g. labelled single-cell datasets) and the associated label (e.g. phenotype). When trained, the network can predict the label from the new samples.

Dr. Henrik MEI
Principal Investigator * Scientific Head of Mass Cytometry ISAC Scholar 2017-2021 * Coordinator German Mass Cytometry Network (masscytometry@drfz.de)
Deutsches Rheuma-Forschungszentrum Berlin (DRFZ), a Leibniz Institute
A: Charitéplatz 01, 10117 Berlin, Germany
T: +49 30 28 460 774
F: +49 30 28 460 603
E: mei@drfz.de