Live Webinar: Deep learning techniques enhance fluorescence imaging by Electro Optics

Fluorescence imaging offers a detailed, non-invasive approach to visualising biological processes. Its applications range from DNA Sequencing and understanding cellular functionality, to guiding complex surgeries in the operating room.

 

Alongside the ongoing exploration and advancement of deep learning, biomedical researchers are now using this exciting tool to develop cutting-edge fluorescence imaging methods. For example, deep learning can enable more precise depth maps and 3D information to be captured, enhanced image reconstruction, robust fluorescence lifetime estimation with limited photons, and much, much more.


In this webinar, the speakers will share the latest ways in which they are using deep learning to design state-of-the-art fluorescence imaging technologies, looking at:

  • Where deep learning can add value in fluorescence imaging
  • The current state of adoption of deep learning in fluorescence imaging
  • The challenges associated with integrating deep learning in fluorescence imaging
  • Whether deep learning can ultimately expect widespread adoption in fluorescence imaging

 

In addition, this webinar will provide a general overview of the different detector technologies available for fluorescence imaging, based on different imaging modalities. 

 

This webinar is FREE to view, though registration is required.



Event Name Live Webinar: Deep learning techniques enhance fluorescence imaging (by Electro Optics)
Schedule December 12, 2023 / 3:00 PM (CET)
Venue Virtual
Official site Visit website

Speakers

Vikas Pandey

Vikas Pandey

 

Postdoctoral Research Associate at Center for Modeling, Simulation and Imaging in Medicine (CeMSIM)

Francesco Fersini

Francesco Fersini

 

PhD Student, Molecular Microscopy and Spectroscopy Group, Istituto Italiano di Tecnologia

Dr. Sebastian Beer

Dr. Sebastian Beer

 

Senior Application Engineer, Systems, Hamamatsu Photonics Deutschland GmbH


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