Logos Biosystems CELENA X High Content Imaging System

Saturday, 01 January, 2022 | Supplied by: ATA Scientific Pty Ltd


The CELENA X High Content Imaging System is an imaging tool designed for rapid, high content image acquisition and quantitative analysis.

The fully integrated system with onstage incubator allows users to quickly and easily set up high content imaging experiments to measure phenotypes of interest objectively, quantitatively and reproducibly within a precisely controlled environment. Capabilities extend from the simplest fixed cell assays to more complicated, time-lapse live cell assays, making it suitable for high content analysis for life science research as well as drug discovery and development.

With four-channel fluorescence, brightfield, colour brightfield and phase contrast imaging modes, together with laser autofocusing and motorised positioning of the XYZ stage, the CELENA X is designed to ensure rapid, reproducible and clear images every time. Interchangeable objectives and hard-coated LED fluorescence filters accommodate a wide range of fixed and live cell imaging applications. Some of these include apoptosis, autophagy, proliferation and migration, as well as studies of cytotoxicity of drugs, cell viability and transfection efficiency.

The intuitive user interface makes creating imaging protocols so straightforward that scientists with limited imaging experience should have no problem setting up high content imaging experiments. Analysis pipelines can be developed and reused to identify cellular or subcellular objects, process images for optimal data collection and make various measurements. Image analysis can involve differentiation of multiple phenotypes, determination of the morphology of individual cells and organelles, and defining the spatial distribution of targets. Multiple measurements can be made for each cell.

For more information: https://www.atascientific.com.au/products/celena-x-high-content-auto-cell-imaging-system/.

Online: www.atascientific.com.au
Phone: 02 9541 3500
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