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Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Editor: Alan E. Willner
  • Vol. 38, Iss. 11 — Jun. 1, 2013
  • pp: 1769–1771

Localization-based super-resolution microscopy with an sCMOS camera part III: camera embedded data processing significantly reduces the challenges of massive data handling

Hongqiang Ma, Hiroyuki Kawai, Eiji Toda, Shaoqun Zeng, and Zhen-Li Huang  »View Author Affiliations


Optics Letters, Vol. 38, Issue 11, pp. 1769-1771 (2013)
http://dx.doi.org/10.1364/OL.38.001769


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Abstract

We present a camera embedded data processing method for localization microscopy (LM) with faster detectors such as scientific complementary metal-oxide semiconductor (sCMOS) cameras. Based on the natural sparsity of single molecule images, this method utilizes the field programmable gate array chip inside a camera to identify and export only the regions containing active molecules instead of raw data. Through numerical simulation and experimental analysis, we found that this method can greatly reduce data volume (<10%) with negligible loss of useful information (<0.2%) at molecular densities <0.2molecules/μm2, thus significantly reducing the challenges of data transfer, storage, and analysis in LM.

© 2013 Optical Society of America

OCIS Codes
(100.6640) Image processing : Superresolution
(110.2960) Imaging systems : Image analysis
(180.2520) Microscopy : Fluorescence microscopy

ToC Category:
Microscopy

History
Original Manuscript: April 3, 2013
Revised Manuscript: April 24, 2013
Manuscript Accepted: April 24, 2013
Published: May 20, 2013

Virtual Issues
Vol. 8, Iss. 7 Virtual Journal for Biomedical Optics

Citation
Hongqiang Ma, Hiroyuki Kawai, Eiji Toda, Shaoqun Zeng, and Zhen-Li Huang, "Localization-based super-resolution microscopy with an sCMOS camera part III: camera embedded data processing significantly reduces the challenges of massive data handling," Opt. Lett. 38, 1769-1771 (2013)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-38-11-1769


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