Sample drift correction in 3D fluorescence photoactivation localization microscopy

被引:125
作者
Mlodzianoski, Michael J. [1 ]
Schreiner, John M. [2 ,3 ]
Callahan, Steven P. [2 ,3 ]
Smolkova, Katarina [4 ]
Dlaskova, Andrea [4 ]
Santorova, Jitka [4 ]
Jezek, Petr [4 ]
Bewersdorf, Joerg [1 ,5 ]
机构
[1] Yale Univ, Sch Med, Dept Cell Biol, New Haven, CT 06510 USA
[2] Univ Utah, Sci Comp & Imaging Inst, Salt Lake City, UT 84112 USA
[3] Vutara Inc, Salt Lake City, UT 84108 USA
[4] Acad Sci Czech Republ, Inst Physiol, Prague 14220, Czech Republic
[5] Yale Univ, Dept Biomed Engn, New Haven, CT 06510 USA
关键词
SUPERRESOLUTION; NANOSCOPY;
D O I
10.1364/OE.19.015009
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The recent development of diffraction-unlimited far-field fluorescence microscopy has overcome the classical resolution limit of similar to 250 nm of conventional light microscopy by about a factor of ten. The improved resolution, however, reveals not only biological structures at an unprecedented resolution, but is also susceptible to sample drift on a much finer scale than previously relevant. Without correction, sample drift leads to smeared images with decreased resolution, and in the worst case to misinterpretation of the imaged structures. This poses a problem especially for techniques such as Fluorescence Photoactivation Localization Microscopy (FPALM/PALM) or Stochastic Optical Reconstruction Microscopy (STORM), which often require minutes recording time. Here we discuss an approach that corrects for three-dimensional (3D) drift in images of fixed samples without the requirement for fiduciary markers or instrument modifications. Drift is determined by calculating the spatial cross-correlation function between subsets of localized particles imaged at different times. Correction down to similar to 5 nm precision is achieved despite the fact that different molecules are imaged in each frame. We demonstrate the performance of our drift correction algorithm with different simulated structures and analyze its dependence on particle density and localization precision. By imaging mitochondria with Biplane FPALM we show our algorithm's feasibility in a practical application. (C) 2011 Optical Society of America
引用
收藏
页码:15009 / 15019
页数:11
相关论文
共 20 条
[1]  
Aquino D, 2011, NAT METHODS, V8, P353, DOI [10.1038/NMETH.1583, 10.1038/nmeth.1583]
[2]   Multicolor super-resolution imaging with photo-switchable fluorescent probes [J].
Bates, Mark ;
Huang, Bo ;
Dempsey, Graham T. ;
Zhuang, Xiaowei .
SCIENCE, 2007, 317 (5845) :1749-1753
[3]   Imaging intracellular fluorescent proteins at nanometer resolution [J].
Betzig, Eric ;
Patterson, George H. ;
Sougrat, Rachid ;
Lindwasser, O. Wolf ;
Olenych, Scott ;
Bonifacino, Juan S. ;
Davidson, Michael W. ;
Lippincott-Schwartz, Jennifer ;
Hess, Harald F. .
SCIENCE, 2006, 313 (5793) :1642-1645
[4]   Imaging biological structures with fluorescence photoactivation localization microscopy [J].
Gould, Travis J. ;
Verkhusha, Vladislav V. ;
Hess, Samuel T. .
NATURE PROTOCOLS, 2009, 4 (03) :291-308
[5]   Optimization of EFTEM image acquisition by using elastically filtered images for drift correction [J].
Heil, Tobias ;
Kohl, Helmut .
ULTRAMICROSCOPY, 2010, 110 (07) :745-750
[6]   Ultra-high resolution imaging by fluorescence photoactivation localization microscopy [J].
Hess, Samuel T. ;
Girirajan, Thanu P. K. ;
Mason, Michael D. .
BIOPHYSICAL JOURNAL, 2006, 91 (11) :4258-4272
[7]   Three-dimensional super-resolution imaging by stochastic optical reconstruction microscopy [J].
Huang, Bo ;
Wang, Wenqin ;
Bates, Mark ;
Zhuang, Xiaowei .
SCIENCE, 2008, 319 (5864) :810-813
[8]   Whole-cell 3D STORM reveals interactions between cellular structures with nanometer-scale resolution [J].
Huang, Bo ;
Jones, Sara A. ;
Brandenburg, Boerries ;
Zhuang, Xiaowei .
NATURE METHODS, 2008, 5 (12) :1047-1052
[9]  
Jones SA, 2011, NAT METHODS, V8, P499, DOI [10.1038/nmeth.1605, 10.1038/NMETH.1605]
[10]   Three-dimensional sub-100 nm resolution fluorescence microscopy of thick samples [J].
Juette, Manuel F. ;
Gould, Travis J. ;
Lessard, Mark D. ;
Mlodzianoski, Michael J. ;
Nagpure, Bhupendra S. ;
Bennett, Brian T. ;
Hess, Samuel T. ;
Bewersdorf, Joerg .
NATURE METHODS, 2008, 5 (06) :527-529