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Faster image analysis with improved capabilities

With expanded imaging capabilities, Olympus has launched version 2.1 of its imaging platform cellSens. Enabling researchers to create clean and detailed images in less time, this latest version of cellSens delivers faster deconvolution and improved feature sets across all software levels.

cellSens Dimension and Standard now feature fully integrated multi-channel acquisition and support for the latest high-end devices. The capabilities of cellSens Entry have also been expanded so that all cellSens users can now manage encoded devices, perform measurements and export the results to Excel. Advanced imaging capabilities such as panoramic and extended depth-of-focus imaging are now also available to all users.

                                                                                                                                                  Important time savings can now be obtained if the application requires the creation of de-blurred fluorescence images. Deconvolution calculations exploit the processing power of modern graphics cards to obtain clean and precise images up to seven times faster than before. Productivity and interactivity are greatly enhanced as, for example, a deconvoluted image can now be obtained in 10 seconds instead of in one minute.

                                                                                                                                                 Advances in speed, functionality and compatibility make cellSens well suited both for routine and advanced research applications, underlining the Olympus commitment to providing a flexible, user-friendly software platform that supports life science researchers everywhere.

www.olympus-lifescience.com

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18-20 April, 2024

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The Catalyst, Newcastle upon Tyne
19 April, 2024

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2 May 2024

EQA Reports: Interpreting Key Information & Troubleshooting Tips

ONLINE - Zoom
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Participants’ Meeting: UK NEQAS Immunology, Immunochemistry & Allergy

Sheffield Hallam University, City Campus, Howard Street, Sheffield
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