New Cell Analysis System Boasts Fully Automated Reading and Imaging Features

A powerful new cell analysis system enables simultaneous detection and microscopic analysis of samples in microplates or microscope slices while automatically controlling temperature, shaking, and gas flow.

The new Cytation3 Cell Imagining Multi-Mode Reader is a product of BioTek (Winooski, VT, USA), a leader in the design, manufacture, and sale of microplate instrumentation and software.

Cytation3 is a cell imaging multimode reader that combines automated digital microscopy and conventional microplate detection compatible with microplates with from 6 to 384 wells and microscope slides. An optional BioStack Microplate Stacker provides increased throughput and walkaway automation for up to 50 standard microplates. The multimode microplate detection system features Biotek's patented Hybrid Technology.

The Cytation3's unique patent pending design provides rich phenotypic cellular information with well-based quantitative data. The system incorporates both high sensitivity filter-based and flexible monochromator based optics for versatility and performance. The automated digital fluorescence microscope features bright field imaging and color switching through onboard filter cubes. Red (Texas Red), green (GFP) and blue (DAPI) cubes are standard, with a fourth position available. Automated XY stage, autofocus, autoexposure, and software features increase image capture throughput, cell counting, and other tasks. Onboard objectives in a magnification range from two to 20 times allow the researcher to view an entire microplate well or to zoom in on a single cell.

Augmenting its imaging and reading capabilities, the Cytation3 offers uniform temperature control to 45 °C, variable shaking modes, and carbon dioxide and oxygen gas regulation for live-cell assays. The integrated Gen5 Data Analysis Software is simple and intuitive to use, and enables the operator to control the reader, automate the entire process, and produce publication-ready reports from the data obtained.

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