Sunday, July 05, 2020

Technion breakthrough unlocks secrets of cells in 3D for first time

Amazing stuff! This is only the beginning of imaging techniques based on deep learning & artificial intelligence.

"Microscopes as a rule produce two-dimensional images of cells allowing biologists a view of what is going on inside, but such images innately miss information as the world is three-dimensional. To date, scientists have worked around the problem by scanning a sample in layers to produce a computerized composite image of all the layers as a 3D object. But the process is limited as the sample must remain still for long periods of time to allow each layer to be scanned, meaning it can't be used to watch a cell in action in 3D. ... Enter DeepSTORM3D - a super-resolution 3D mapping system developed by Technion's researchers. Not only is it able to map images with a resolution ten times that achievable through standard optical microscopy, but it is able to map 3D images in moving systems. ... "The new technology has advanced us towards realizing one of the holy grails of biological research – mapping biological processes in living cells in super-resolution," ..."

"A result is a machine that produces 3D images of 1,000 cells per minute."

"We demonstrate our approach experimentally with super-resolution reconstructions of mitochondria and volumetric imaging of fluorescently labeled telomeres in cells. Our approach, DeepSTORM3D, enables the study of biological processes in whole cells at timescales that are rarely explored in localization microscopy."

Technion breakthrough unlocks secrets of cells in 3D for first time - The Jerusalem Post To solve this problem, the researchers turned to the field of deep learning, developing an artificial neural network capable of formulating its own solution

Here is the link to the related Technion article: Capturing Live Cell Dynamics with 3D Nanoscale Resolution Technion scientists have developed an unprecedented method for 3D imaging of nanometric processes inside living cells while they are moving



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