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High-Content Imaging System

By Drug Discovery Trends Editor | January 7, 2013

TTP Labtech has released its acumen hci (high content imaging) system, developed for researchers who are looking to increase the productivity of their high throughput imaging.  Replacing the acumen eX3, the new acumen hci is the fastest imager on the market for multiplex assays in up to 1536-well plates, and the new open-source image format means users have complete flexibility to analyse images on their existing analysis software if required. Together with whole-well imaging, these features make the acumen hci ideal for identifying “hit” wells in cell-based screens.

Achieving unparalleled speeds during high throughput screening, acumen hci can image and analyse the whole wells of a 96- to 1536- well plates in just 8 minutes, at a resolution of 0.5 µm/pixel. This enables the effective screening of high density plates and facilitates assay miniaturization, with associated increase in throughput and reduced costs. Data is robust and insightful even during rapid screening, and up to three lasers allow for easy multiplexing using a wide range of fluorescent dyes. The 561 nm laser option offers compatibility with even more dyes, like mCherry. Furthermore, with intuitive operation, multiple members of staff can be easily trained on the acumen hci for efficient use of the screening program.

The acumen hci incorporates TTP Labtech’s proprietary cellista software which enables high throughput whole well imaging of a greater range of hard-to-automate assays, including angiogenesis, neurite outgrowth, nuclear localization, translocation, and cytotoxicity. The novel open-source, OME-compliant TIFF images can be exported without reducing scan times and are easily imported into a range of open source and commercial image analysis packages, so they can easily fit into existing workflows. The acumen hci is also compatible with microscope slides using the widefield objective, for imaging of whole tissue sections in minutes.

TTP Labtech


Filed Under: Drug Discovery

 

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