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Teledyne Princeton Instruments

Technologies and Applications for Ultra Low Light Detection in Bio-Spectroscopy

Presentation will begin: Tuesday, April 18, 2023 - 9:45 AM EDT
Presented by: Sebastian Remi, Teledyne Princeton Instruments

Raman, bio-Raman, and other bio-spectroscopy methods often require the detection of weak signals. The appropriate spectrograph and detection technology increase the measurement sensitivity, reduce experiment runtime, and increase measurement throughput by collecting more data in less time. In the past few years, new technologies like super deep depleted silicon (Si) detectors have increased the level of efficiency in low light level detection sometimes by more than 300 percent. When dealing with weak signals or measurements, the optical design of the spectroscopy system can become crucial as well.

Remi provides an overview of different detector and spectrograph technologies for ultra-low light detection in bio-spectroscopy such as high resistivity Si CCDs, scientific InGaAs, and aberration corrected spectrographs for multichannel and hyperspectral micro-spectroscopy of biological systems.

Applications include Raman spectroscopy for cancer detection and cell classification as well as CARS spectral imaging for functional imaging on the cellular level.

About the presenter
Sebastian RemiSebastian Remi, Ph.D., earned his doctorate in physics from Boston University investigating electronic and mechanical properties of graphene using Raman spectroscopy. After this, Remi joined Teledyne Princeton Instruments in 2014. In his role as application scientist, he supports researchers from a wide range of fields such as astronomy, nanotechnology, quantum and material science, life science to find optimal detection solutions for low light imaging, and spectroscopy experiments.

About the sponsor(s)
  • Teledyne Princeton Instruments - Designs and manufactures high-performance CCD, ICCD, emICCD, EMCCD, sCMOS, and InGaAs cameras; spectrographs; and optics-based solutions for the scientific research, industrial imaging, and OEM communities. Partners with researchers and OEMs to solve challenging problems.


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