Machine Learning and Image Analysis Methods in High-content Screening for Phenotypic Drug and Gene Discovery

Video   Jun 30, 2015

 



About the Speaker
Peter Horvath (1980) is currently a group leader at ETH, Zurich and holds a Finnish Distinguished Professor (FiDiPro) Fellow position in the Institute for Molecular Medicine Finland (FIMM), Helsinki. He graduated as a software engineer and mathematician, and received his Ph.D. from INRIA and University of Nice, Sophia Antipois, France in satellite image analysis. Between 2007 and 2013 he was a senior scientist at the ETH Zurich, in the Light Microscopy Centre. Peter Horvath is interested in solving computational cell biology problems related to light microscopy and is involved in three main research fields; 2/3D biological image segmentation and tracking; development of microscopic image correction techniques; machine learning methods applied in high-throughput microscopy. He is the co-founder of the European Cell-based Assays Interest Group.

 
 
 
 

Recommended Videos

The All New Affinity ITC - Perfected ITC Automation

Video

While others have attempted ITC automation, leading to bent syringes and imperfect data, TA Instruments has perfected it with the all new Affinity ITC!

WATCH NOW

LabTube TV meets Elizabeth Admirand, Epizyme

Video

Elizabeth Admirand, Principal Research Scientist, discusses how entering the clinical stage drove changes to Epizyme's sample management systems for compounds and biologics.

WATCH NOW

Combating Infectious Diseases with Next-generation Sequencing

Video

Learn how next-gen sequencing is accelerating the process of diagnosing mysterious infectious diseases and helping doctors to deliver life-saving treatments.

WATCH NOW

 

Comments | 0 ADD COMMENT

Like what you just watched? You can find similar content on the communities below.

Drug Discovery Genomics Research Informatics & Automation

To personalize the content you see on Technology Networks homepage, Log In or Subscribe for Free

LOGIN SUBSCRIBE FOR FREE