Bio-Imaging & Microscopy
New imaging technique gains an advantage with deep learning software
Researchers from Rensselaer Polytechnic Institute developed a new technique that applies deep learning to quantify images generated from fluorescence lifetime imaging. Details of the deep neural network they developed, called FLI-Net, are described in the November 12 issue of the Proceedings of the National Academy of Sciences.  Discuss
Super-resolution using standard optical microscopes now possible with the aid of upconversion nanoparticles
Researchers at the ARC Centre of Excellence for Nanoscale BioPhotonics (CNBP) in Australia have found an innovative way to utilize standard laboratory optical imaging equipment to bypass diffraction limitations and achieve super-resolution. Results published in Nature Communications on August 16 provide methodology and theoretical framework for end-users to achieve super-resolution in their own laboratories.  Discuss
Visualizing big data in the life sciences gets an upgrade with new software
A new software developed by researchers at the Max Delbrück Center for Molecular Medicine (MDC) uses algorithms to reconstruct and scale data acquired by light-sheet microscopy that renders a supercomputer unnecessary. Light microscopy techniques provide extremely detailed information but result in terabytes of data which is nearly impossible for scientists to process. MDC researchers are helping make sense of this data.  Discuss
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January 29-30, 2020
London, Greater London United Kingdom
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Conferences
11th Annual PEGS Europe
November 18-22
Lisbon Portugal
Antibody Engineering & Therapeutics
December 9-13
San Diego, California United States
Society for Laboratory Automation and Screening (SLAS) 2020
January 25-29, 2020
San Diego, California United States
American Society for Microbiology (ASM) Biothreats
January 28-30, 2020
Arlington, Virginia United States
Festival of Genomics 2020
January 29-30, 2020
London, Greater London United Kingdom
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