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Sharp resolution, big samples: ExA-SPIM microscope accelerates brain imaging - Vimarsana News

Sharp resolution, big samples: ExA-SPIM microscope accelerates brain imaging

An innovative microscopy technique bridges the gap between field of view and resolution. An innovative microscopy technique bridges the gap between field of view and resolution.

Source: nature.com
Deep Learning and Hardware Innovations Improve Performance of Confocal Microscope - Vimarsana News

Deep Learning and Hardware Innovations Improve Performance of Confocal Microscope

Since artificial intelligence pioneer Marvin Minsky patented the principle of confocal microscopy in 1957, it has become the workhorse standard in life science laboratories worldwide, due to its superior contrast over traditional wide-field microscopy.

How Cutting-Edge Microscopes are Accelerating Significant Plant Discoveries - Vimarsana News

How Cutting-Edge Microscopes are Accelerating Significant Plant Discoveries

Advances in microscopy, software developments, and better detection systems have revolutionized bioimaging processes. Owing to these advancements, scientists can study single living cells and three-dimensional (3D) images of cell organelles.

NIMH » Lab Members - Vimarsana News

NIMH » Lab Members

Dr. White studied physics and mathematics at the University of Oregon (Honors College) as an undergraduate, but a long-standing fascination with the brain and how it generates things like thoughts, feelings, and behavior took him to graduate school in neuroscience at Washington University in St. Louis. After pursuing postdoctoral research at Yale University, Dr. White came to NIMH where he started the Section on Neural Function (AKA, the White Lab) in 2002. His laboratory’s interest in the circuit-level organization of the fruit fly brain is guided by the desire to understand how a simple â...

Source: nih.gov
RMS Virtual Super-Resolution Workshop at mmc2021 - Vimarsana News

RMS Virtual Super-Resolution Workshop at mmc2021

9 July 2021 12.30pm – 5pm Scientific Organisers: Professor Michelle Peckham and Dr Hari Shroff The workshop this year will be centred on the current challenges in developing and using super-resolution microscopy with short talks and lots of time for discussion.  It will be split into 2 sessions, focussing on the topics of ‘using machine learning and AI in super-resolution imaging’ and the other will be ‘expansion microscopy’. Thoughts and ideas are encouraged to help define what is good/best practice around these challenges and to give an insight into future potential developments...