Cross-correlation image tracking for drift correction and adsorbate analysis

2002 ◽  
Vol 73 (2) ◽  
pp. 313-317 ◽  
Author(s):  
B. A. Mantooth ◽  
Z. J. Donhauser ◽  
K. F. Kelly ◽  
P. S. Weiss
2021 ◽  
Author(s):  
Jelmer Cnossen ◽  
Tao Ju Cui ◽  
Chirlmin Joo ◽  
Carlas S Smith

Localization microscopy offers resolutions down to a single nanometer, but currently requires additional dedicated hardware or fiducial markers to reduce resolution loss from drift of the sample. Drift estimation without fiducial markers is typically implemented using redundant cross correlation (RCC). We show that RCC has sub-optimal precision and bias, which leaves room for improvement. Here, we minimize a bound on the entropy of the obtained localizations to efficiently compute a precise drift estimate. Within practical compute-time constraints, simulations show a 5x improvement in drift estimation precision over the widely used RCC algorithm. The algorithm operates directly on fluorophore localizations and is tested on simulated and experimental datasets in 2D and 3D. An open source implementation is provided, implemented in Python and C++, and can utilize a GPU if available.


2021 ◽  
Vol 111 ◽  
pp. 106269
Author(s):  
Sandra Beyer Gregersen ◽  
Zachary James Glover ◽  
Lars Wiking ◽  
Adam Cohen Simonsen ◽  
Karina Bertelsen ◽  
...  

2014 ◽  
Vol 22 (13) ◽  
pp. 15982 ◽  
Author(s):  
Yina Wang ◽  
Joerg Schnitzbauer ◽  
Zhe Hu ◽  
Xueming Li ◽  
Yifan Cheng ◽  
...  

2008 ◽  
Vol 94 (12) ◽  
pp. 4996-5008 ◽  
Author(s):  
Raibatak Das ◽  
Stephanie Hammond ◽  
David Holowka ◽  
Barbara Baird

Optik ◽  
2019 ◽  
Vol 179 ◽  
pp. 610-616
Author(s):  
Changying Liu ◽  
Hongliang Liu ◽  
Yang Liu ◽  
Tongtong Li ◽  
Tianhao Wang

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