Universal inverse modeling of point spread functions for SMLM localization and microscope characterization

Liu, Sheng1,2; Chen, Jianwei3,4,5; Hellgoth, Jonas2,6,7; Mueller, Lucas-Raphael2,8; Ferdman, Boris9; Karras, Christian10,18; Xiao, Dafei11; Lidke, Keith A.1; Heintzmann, Rainer10,12,13; Shechtman, Yoav9,14; Li, Yiming3; Ries, Jonas2,15,16,17

2024-06-01

10.1038/s41592-024-02282-x

NATURE METHODS   影响因子和分区

1548-7091

1548-7105

The point spread function (PSF) of a microscope describes the image of a point emitter. Knowing the accurate PSF model is essential for various imaging tasks, including single-molecule localization, aberration correction and deconvolution. Here we present universal inverse modeling of point spread functions (uiPSF), a toolbox to infer accurate PSF models from microscopy data, using either image stacks of fluorescent beads or directly images of blinking fluorophores, the raw data in single-molecule localization microscopy (SMLM). Our modular framework is applicable to a variety of microscope modalities and the PSF model incorporates system- or sample-specific characteristics, for example, the bead size, field- and depth- dependent aberrations, and transformations among channels. We demonstrate its application in single or multiple channels or large field-of-view SMLM systems, 4Pi-SMLM, and lattice light-sheet microscopes using either bead data or single-molecule blinking data.

SCI

英语

通讯

Biochemistry & Molecular Biology

Biochemical Research Methods

WOS:001250142000021

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BIOLOGY & BIOCHEMISTRY

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1.Univ New Mexico, Dept Phys & Astron, Albuquerque, NM USA
2.European Mol Biol Lab, Cell Biol & Biophys, Heidelberg, Germany
3.Southern Univ Sci & Technol, Dept Biomed Engn, Guangdong Prov Key Lab Adv Biomat, Shenzhen, Peoples R China
4.Southern Univ Sci & Technol, Collaborat joint PhD Degree, Harbin, Peoples R China
5.Harbin Inst Technol, Harbin, Peoples R China
6.Collaborat Joint PhD degree EMBL, Fac Biosci, Heidelberg, Germany
7.Heidelberg Univ, Heidelberg, Germany
8.Univ Tubingen, Machine Learning Sci, Excellence Cluster Machine Learning, Tubingen, Germany
9.Technion Israel Inst Technol, Dept Biomed Engn, Haifa, Israel
10.Leibniz Inst Photon Technol, Jena, Germany
11.Technion Israel Inst Technol, Russell Berrie Nanotechnol Inst, Haifa, Israel
12.Friedrich Schiller Univ Jena, Inst Phys Chem, Jena, Germany
13.Friedrich Schiller Univ Jena, Abbe Ctr Photon, Jena, Germany
14.Univ Texas Austin, Dept Mech Engn, Austin, TX USA
15.Max Perutz Labs, Vienna Bioctr Campus, Vienna, Austria
16.Univ Vienna, Ctr Mol Biol, Dept Struct & Computat Biol, Vienna, Austria
17.Univ Vienna, Fac Phys, Vienna, Austria
18.JENOPTIK Opt Syst, Jena, Germany

Liu, Sheng,Chen, Jianwei,Hellgoth, Jonas,et al. Universal inverse modeling of point spread functions for SMLM localization and microscope characterization[J]. NATURE METHODS,2024,21(6).

Liu, Sheng.,Chen, Jianwei.,Hellgoth, Jonas.,Mueller, Lucas-Raphael.,Ferdman, Boris.,...&Ries, Jonas.(2024).Universal inverse modeling of point spread functions for SMLM localization and microscope characterization.NATURE METHODS,21(6).

Liu, Sheng,et al."Universal inverse modeling of point spread functions for SMLM localization and microscope characterization".NATURE METHODS 21.6(2024).