WEBCAST: Life Sciences

To view this webcast, please fill in the registration form on the right.

This webcast, hosted by Imaging and Machine Vision Europe and sponsored by Lumenera, Bitflow and PCO, explores the broad and significant impact imaging solutions have had within the field of life sciences. Presenting an overview of scientific CMOS cameras, as well as further sensor technology and interfaces,
it offers insight into and advice on a vitally important sector within machine vision.

This webcast is free to view, though registration is required.

The webcast includes the following presentations:

(Life) scientific CMOS Camera Applications and High speed Data Transmission

Since the first release of scientific CMOS image sensor technology in 2009, image sensors have been improved and the camera systems have matured.

With its impressive combination of performance parameters, the sCMOS camera has supported and fueled the development of new methods in microscopy such as localisation microscopy, selective plane illumination microscopy, structure illumination microscopy and spinning disk confocal microscopy.

Each method aims to improve the resolution, sometimes even beyond the diffraction barrier, and exclude stray light from the images of samples which are investigated with microscopes in life science. This webcast offers a short overview of sCMOS image sensors and presents different sCMOS applications in actual microscopy. The impact of data hungry applications on the required image data interfaces is also discussed, as are the new Camera Link HS Standard interface with a powerful frame grabber by KAYA Instruments as the near-future outlook for these applications is presented.

Gerhard Holst, Head of Science & Research, PCO

Maximising Sensitivity and Signal to Noise in Scientific Imaging

The progress in life science research has both benefited from and pulled forward innovation in image sensors. This is no more apparent than in scientific CMOS cameras that have established themselves as the workhorse imaging solution in the life sciences. Combined with new breakthroughs in computational imaging and signal processing, scientific cameras can move from image capture devices to assisting in the selecting and processing
of important data.

A vision for how this might be realised is presented in this webcast.

This includes application in super-resolution microscopy and improving signal-to-noise ratios in very low light imaging typical of live-cell microscopy. Additionally, with EMCCD sensors previously defining the peak of sensitivity, new back-side illuminated CMOS sensors have recently become available, and are poised to eliminate traditional sensor tradeoffs between frame rate, field-of-view and sensitivity. Several examples will be presented, showing how the performance of these cameras compare and how to prepare when selecting an appropriate camera for fluorescence microscopy methods.

Rachit Mohindra, product manager, Photometrics

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