English

3D Snapshot Microscopy of Extended Objects

Instrumentation and Detectors 2018-05-23 v3

Abstract

Volumetric biological imaging often involves compromising high temporal resolution at the expense of high spatial resolution when popular scanning methods are used to capture 3D information. We introduce an integrated experimental and image reconstruction method for capturing dynamic 3D fluorescent extended objects as a series of synchronously measured 3D snapshots taken at the frame rate of the imaging camera. We employ multifocal microscopy (MFM) to simultaneously image at 25 focal planes and process this depth-encoded image to recover the 3D structure of extended objects, such as bacteria, using a sparsity-based reconstruction approach. The combined experimental and computational method produces image quality similar to confocal microscopy in a fraction of the acquisition time. In addition, our computational image reconstruction approach allows a simplified MFM optical design by correcting aberrations using the measured response to point sources. This "compressive" MFM acquisition and reconstruction method, where an image volume with roughly 8 million voxels is recovered from a single 1-megapixel captured image, enables straightforward study of dynamic processes in 3D, and as a simultaneous snapshot advances the state of the art in dynamic 3D microscopy.

Keywords

Cite

@article{arxiv.1802.01565,
  title  = {3D Snapshot Microscopy of Extended Objects},
  author = {Xiang Huang and Alan Selewa and Xiaolei Wang and Matthew K. Daddysman and Itay Gdor and Rosemarie Wilton and Kenneth M. Kemner and Seunghwan Yoo and Aggelos K. Katsaggelos and Kuan He and Oliver Cossairt and Nicola J. Ferrier and Mark Hereld and Norbert F. Scherer},
  journal= {arXiv preprint arXiv:1802.01565},
  year   = {2018}
}

Comments

14 pages, 7 figures, 1 movie, for submission to Scientific Reports; added author and updated contributions

R2 v1 2026-06-23T00:11:46.326Z