Scientific CMOS Drives Discovery in Live-Tissue Applications

Oct 26, 2022
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Hamamatsu Corporation
About This Webinar
Advancements in camera technology have pushed the quest for knowledge into live imaging of cellular processes and even into the workings of the human brain, with new applications in neuroscience. Today’s scientific CMOS cameras are high-speed, low-noise, high-sensitivity marvels compared to the CCD and EMCCD cameras of just five years ago. Some emerging applications in living tissue that have profited from the new camera technology's ability to capture information in real time are optogenetics, voltage-sensitive dyes, and light-sheet imaging. Optogenetics allows the controlled fire of real-time nerve signals at high speeds. The flash of voltage-sensitive dyes has opened up the world of cellular signaling, thanks to low-noise, highly sensitive cameras. Light-sheet imaging has expanded 3D live imaging by using high-speed synched readout modes. New readout circuitry and sensor designs are pushing the noise floor lower while increasing sensitivity. Coyle discusses how the fusion of on-camera memory with AI integration will open up new avenues for live-cell and organism imaging.

***This presentation premiered during the 2022 BioPhotonics Conference. For more information on Photonics Media conferences, visit  

About the presenter
Brad CoyleBrad Coyle is OEM camera product manager at Hamamatsu. He has worked in the imaging field for over 16 years. His lab experience is in cell biology and live-cell microscopy. For eight years, he worked in advanced microscopy sales for Nikon Instruments. He joined Hamamatsu eight years ago in direct camera sales and quickly moved into OEM and automated imaging. His expertise includes camera and sensor technology, and advanced life science, physics, and industrial applications. Hamamatsu is a world leader focused on light-powered innovation. The company’s mission is to benefit society through the development of technologies that capture, measure, and generate various types of light.
Imagingartificial intelligencecamerasCMOSBiophotonicsbiomedical imagingsCMOSlive cell imaging
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