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DTSTART:20170326T030000
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DTSTART:20171029T020000
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BEGIN:VEVENT
DTSTAMP:20260427T100807Z
UID:59d4b3169221d061855422@ist.ac.at
DTSTART:20171019T100000
DTEND:20171019T110000
DESCRIPTION:Speaker: Philip Kollmannsberger\nhosted by Peter Jonas\nAbstrac
 t: Interactions between molecules in cells and between cells in tissues ar
 e the basis of complex higher-level function at the systems level. Modern 
 light and electron microscopic techniques enable us to capture these inter
 actions in unprecedented detail and with high temporal and spatial resolut
 ion\, but require new automated ways to extract relevant information from 
 the vast amount of image data. We develop and apply computational methods 
 for automated image and network analysis\, aiming towards a quantitative u
 nderstanding of multicellular interactions in neuronal and other tissues. 
 I will present our work on segmentation of synaptic structures from electr
 on microscopic images using machine learning\, clustering of neuronal prot
 eins from 3D superresolution microscopy\, and on the analysis of network s
 tructure in bone cell networks. Based on the quantitative information from
  such large-scale image data\, we develop theoretical models and generate 
 new hypotheses on the structure and function of complex biological network
 s on all scales.
LOCATION:Seminar Room\, Lab Building East\, ISTA
ORGANIZER:ekramberger@ist.ac.at
SUMMARY:Philip Kollmannsberger: Using automated image analysis to quantify 
 interactions from the synapse to the network level
URL:https://talks-calendar.ista.ac.at/events/882
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