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Approaches for increasing throughput andinformation content of image-based zebrafishscreens
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Bildanalys och människa-datorinteraktion.
Massachusetts Institute of Technology, USA. (Research Laboratory of Electronics)
Massachusetts Institute of Technology, USA. (Research Laboratory of Electronics)
Vise andre og tillknytning
2011 (engelsk)Inngår i: Proceeding of SSBA 2011, 2011Konferansepaper, Publicerat paper (Annet vitenskapelig)
Abstract [en]

Microscopy in combination with image analysis has emerged as one of the most powerful and informativeways to analyze cell-based high-throughput screening (HTS) samples in experiments designed to uncover novel drugs and drug targets. However, many diseases and biological pathways can be better studied in whole animals, particularly diseases and pathways that involve organ systems and multicellular interactions, such as organ development, neuronal degeneration and regeneration, cancer metastasis, infectious disease progression and pathogenesis. The zebrafish is a wide-spread and popular vertebrate model of human organfunction and development, and it is unique in the sense that large-scale in vivo genetic and chemical studies are feasible due in part to its small size, optical transparency,and aquatic habitat. To improve the throughput and complexity of zebrafish screens, a high-throughput platform for cellular-resolution in vivo chemical and genetic screens on zebrafish larvae has been developed at Yanik lab at Research Laboratory of Electronics, MIT, USA. The system loads live zebrafish from reservoirs or multiwell plates, positions and rotates them for high-speed confocal imaging of organs,and dispenses the animals without damage. We present two improvements to the described system, including automation of positioning of the animals and a novel approach for brightfield microscopy tomographic imaging of living animals.

sted, utgiver, år, opplag, sider
2011.
HSV kategori
Forskningsprogram
Datoriserad bildbehandling; Datoriserad bildanalys
Identifikatorer
URN: urn:nbn:se:uu:diva-168378OAI: oai:DiVA.org:uu-168378DiVA, id: diva2:495990
Konferanse
SSBA Symposium 2011
Tilgjengelig fra: 2012-02-09 Laget: 2012-02-09 Sist oppdatert: 2018-01-12

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