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Imaging Screening Station

Olympus Corp. of the AmericasRequest Info
 
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WALTHAM, Mass., Dec. 24, 2021 — Imaging Screening StationVersion 3.3 of the scanR High-Content Screening Station from Olympus Corp. provides fully automated image acquisition and data analysis while improving its deep-learning capabilities.

Using a self-learning microscopy approach, the scanR system’s artificial intelligence automatically analyzes data in an assay-based workflow. The deep-learning technology can detect cells, nuclei, and subcellular objects, extracting features from a list of more than 100 object parameters. Version 3.3 more accurately segments difficult-to-distinguish objects. It also features pretrained neural network models for nuclei and cells, which can be used in a broad range of standard applications including the ability to distinguish between confluent cells and dense nuclei, eliminating the time to train the neural network.

A well plate calibration assistant quickly and simply calibrates a new well plate for the system, and a new license level enables collaborators to open, review, and re-gate scanR analysis files for easier results sharing.


Photonics.com
Dec 2021
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ProductsOlympusImaging Screening StationScanRhigh-content screening stationimagingBiophotonicsmedicinemedicallife sciencesAmericas

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