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Video-rate nanoscopy using sCMOS camera-specific single-molecule localization algorithms

delete2013-05-26
delete464
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OA
AI
F
Fang Huang
T
Tobias M.P. Hartwich
F
Félix Rivera-Molina
Y
Yu Lin
W
Whitney C. Duim
J
Jane J. Long
P
Pradeep D. Uchil
J
Jordan Myers
M
Michelle A. Baird
W
Walther Mothes
M
Michael W. Davidson
D
Derek Toomre
J
Joerg Bewersdorf *
DOI:10.1038/NMETH.2488delete
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摘要

摘要

En 中文
Newly developed scientific complementary metal-oxide semiconductor (sCMOS) cameras have the potential to dramatically accelerate data acquisition, enlarge the field of view and increase the effective quantum efficiency in single-molecule switching nanoscopy. However, sCMOS-intrinsic pixel-dependent readout noise substantially lowers the localization precision and introduces localization artifacts. We present algorithms that overcome these limitations and that provide unbiased, precise localization of single molecules at the theoretical limit. Using these in combination with a multi-emitter fitting algorithm, we demonstrate single-molecule localization super-resolution imaging at rates of up to 32 reconstructed images per second in fixed and living cells.
Keyword:
SUPERRESOLUTION MICROSCOPY
FLUORESCENT PROTEINS
LIVING CELLS
LIVE CELLS
FLUOROPHORES
ACQUISITION
ENDOCYTOSIS
RESOLUTION
ACCURACY
TRACKING

期刊

Nature Methods 封面图
Nature Methods
IF:
32.1
论文数:
7.2K
被引数:
12.7W

机构

State University System of Florida 封面图
State University System of Florida
学者数:
12.8W
论文数: 10.9W
被引数: 130
Y
Yale University
学者数:
6.5W
论文数: 6.0W
被引数: 10.0W
引用论文

引用论文

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