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The Cell IQ V2 MLF Cell Imaging and Analysis System is a live cell imaging system with integrated platform for quantitative image analysis. To this end, 'machine vision technology' is used, in particular to enable automatic pattern recognition, morphometry and quantification.
The automated microscopy has motorized positioning of the object plane and x y and z direction, thus allowing 3D photogrammetric image recording over time. Microscopic observation with different lighting modes such as bright field, phase contrast and three fluorescence conditions are possible.
Due to the temperature control and atmospheric conditioning of the measuring chamber, living cells can be analyzed for arbitrarily long periods of time.
Two microtiter plates can be cultivated simultaneously under different gas conditions. The platform includes the analysis software Imagen ™ system control for image processing, automatic stitching and simple conversion of individual image files into high definition videos.
The physiology of the cells can be compared in the high throughput format (48-, 96-plate format) and presented as video in the form of phase contrast or fluorescence (3 channels). The analysis of certain standard assays (scratch assays, cell migration, etc.) is integrated into the software.
Prof. Dr. Günter Lepperdinger
Life cell imaging
Methods & Expertise for Research Infrastructure
The Cell-IQ allows the continuous microscopic recording of cultivated cells over several days offering means for "long-term imaging" or "cell monitoring".
The device additionally allows the quantification of proliferating, apoptotic, and necrotic cells in these cultures without the need of additional markers (label-free), which avoids possible influencing of the cells by the labeling substance itself.
The physiology of the cells can be compared in the high throughput format (48-, 96-plate format) and presented as video in the form of phase contrast or fluorescence (3 channels) images. The analysis of certain standard assays (scratch assays, cell migration, etc.) is included and can be processed by the software.
Allocation to Core Facility
Main focus ACBN, University of Salzburg
Peter Ertl, Vienna University of Technology
Dirk Strunk, PMU Salzburg
Beatrix Gruber-Loebenstein, University of Innsbruck
Claudio Franceschi, University of Bologna
Georg Bauer, Sony DADC Biosciences
Johannes Grillari, BOKU Vienna
Francisco Domingues, Eurak Bozen
Regina Brunauer, BUCK Institute USA
SONY DADC Biosciences Anif Austria
TECAN Grödig Austria