Introduction to Bioimage Analysis


Webinar URL:

Webinar Details

Microscopy is a key technology driving biological discovery. Nowadays, microscopy based scientific findings must be substantiated by quantitative image analysis. The discipline concerned with such quantification of biological microscopy images is called bioimage analysis. Dr. Christian Tischer walks us through the main concepts of a typical bioimage analysis workflow. He explains how to quantitatively interpret the content of microscopy images and how to automatically detect objects in images and derive object based measurements. He also emphasizes the importance of visual inspection and quality control of automated image analysis. Finally, he presents an overview of current bioimage analysis tools and communities.

Bioimage analysis (scope and necessity); Image content; Image visualization; Image formation (blur, noise); Image processing (filters); Image restoration (denoising, deblurring); Image segmentation; Object based measurements; Calibrated measurements; Analysis results exploration and quality control; Bioimage analysis tools and communities.

SpeakerChristian Tischer
Christian Tischer
Christian Tischer studied physics in Heidelberg, followed by Ph.D. at the European Molecular Biology Laboratory (EMBL) with Dr. Philippe Bastiaens working on microscope development and signalling in mammalian cells. Subsequently, he did a postdoc with Dr. Marileen Dogertom at AMOLF in the Netherlands, where he worked on microtubule dynamics. From 2009 until 2018, he worked at EMBL’s Advanced Light Microscopy Facility (ALMF) supporting scientists with both microscopy and image analysis. Since 2018, Christian’s focus shifted completely towards image analysis support and he is now running EMBL’s Centre for Bioimage Analysis (CBA).


Eastern Time (US and Canada)

March 15, 2019 8:00 am GMT-04:00

Beijing, Shanghai (China)

March 15, 2019 8:00 pm GMT+08:00

Berlin (Germany)

March 15, 2019 1:00 pm GMT+01:00

Brussels (Belgium)

March 15, 2019 1:00 pm GMT+01:00


Short < 30 min



Related Subjects


Webinar Type