Login / Signup

Random access parallel microscopy.

Mishal AshrafSharika MohananByu Ri SimAnthony TamKiamehr RahemipourDenis BrousseauSimon ThibaultAlexander David CorbettGil Bub
Published in: eLife (2021)
We introduce a random-access parallel (RAP) imaging modality that uses a novel design inspired by a Newtonian telescope to image multiple spatially separated samples without moving parts or robotics. This scheme enables near-simultaneous image capture of multiple petri dishes and random-access imaging with sub-millisecond switching times at the full resolution of the camera. This enables the RAP system to capture long-duration records from different samples in parallel, which is not possible using conventional automated microscopes. The system is demonstrated by continuously imaging multiple cardiac monolayer and Caenorhabditis elegans preparations.
Keyphrases
  • high resolution
  • deep learning
  • high throughput
  • machine learning
  • high speed
  • convolutional neural network