Benchmarking Image Analysis Algorithms for Superresolution Fluorescence Microscopy

Forrest Hippensteel; Alexander R. Small

doi:10.1364/NTM.2011.NMA2

Optics in the Life Sciences
OSA Technical Digest (CD) (Optica Publishing Group, 2011),
paper NMA2
•https://doi.org/10.1364/NTM.2011.NMA2

Benchmarking Image Analysis Algorithms for Superresolution Fluorescence Microscopy

Forrest Hippensteel and Alexander R. Small

Novel Techniques in Microscopy 2011

Monterey, California United States
4–6 April 2011
ISBN: 978-1-55752-909-1

From the session
Superresolution I (NMA)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
F. Hippensteel and A. R. Small, "Benchmarking Image Analysis Algorithms for Superresolution Fluorescence Microscopy," in Optics in the Life Sciences, OSA Technical Digest (CD) (Optica Publishing Group, 2011), paper NMA2.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

We demonstrate a method of benchmarking to identify optimal rejection algorithms for superresolution fluorescence microscopy. Simulations show that a minimum photon count of ~3/4 the mean photon count per molecule yields acceptable performance.

PDF Article

More Like This

Development of Novel Fluorescent Proteins for Superresolution Imaging

Tao Xu
NSu1C.1 Nanophotonics, Nanoelectronics and Nanosensor (N3) 2013

Enhancing Resolution and Contrast in Coherent Raman Microscopy: Towards Superresolution Chemical Imaging

Hyun Min Kim and Stephan J. Stranick
NMC4 Novel Techniques in Microscopy (NTM) 2011

Improving time domain fluorescence lifetime imaging with an Adaptive Monte Carlo Data Inflation (AMDI) algorithm

Aymeric Leray, Dave Trinel, Corentin Spriet, Yves Usson, and Laurent Héliot
80920C European Conference on Biomedical Optics (ECBO) 2011

Previous Article Next Article