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Gigapixel imaging with a novel multi-camera array microscope.

Eric E ThomsonMark HarfoucheKanghyun KimPavan C KondaCatherine W SeitzColin CookeShiqi XuWhitney S JacobsRobin BlazingYang ChenSunanda SharmaTimothy W DunnJaehee ParkRoarke W HorstmeyerEva A Naumann
Published in: eLife (2022)
The dynamics of living organisms are organized across many spatial scales. However, current cost-effective imaging systems can measure only a subset of these scales at once. We have created a scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution recording from multiple spatial scales simultaneously, ranging from structures that approach the cellular scale to large-group behavioral dynamics. By collecting data from up to 96 cameras, we computationally generate gigapixel-scale images and movies with a field of view over hundreds of square centimeters at an optical resolution of 18 µm. This allows us to observe the behavior and fine anatomical features of numerous freely moving model organisms on multiple spatial scales, including larval zebrafish, fruit flies, nematodes, carpenter ants, and slime mold. Further, the MCAM architecture allows stereoscopic tracking of the z-position of organisms using the overlapping field of view from adjacent cameras. Overall, by removing the bottlenecks imposed by single-camera image acquisition systems, the MCAM provides a powerful platform for investigating detailed biological features and behavioral processes of small model organisms across a wide range of spatial scales.
Keyphrases
  • high resolution
  • high speed
  • gram negative
  • convolutional neural network
  • mass spectrometry
  • deep learning
  • air pollution
  • multidrug resistant
  • optical coherence tomography
  • zika virus
  • photodynamic therapy
  • single cell