Title:
NOISE REDUCTION METHOD AND APPARATUS FOR MOLECULAR LOCALIZATION SUPER-RESOLUTION IMAGING, AND TERMINAL DEVICE
Document Type and Number:
WIPO Patent Application WO/2020/051764
Kind Code:
A1
Abstract:
A noise reduction method and apparatus (50) for molecular localization super-resolution imaging, and a terminal device, applicable to a molecular localization super-resolution microscope. The noise reduction method for molecular localization super-resolution imaging comprises: segmenting an image obtained by the molecular localization super-resolution microscope to obtain N unit processing images, N being an integer greater than 1 (S101); performing a Poisson correction on the unit processing images to obtain first images (S102); performing principal component analysis on the first images to obtain second images (S103); extracting image reconstruction components from the second images, reconstructing the images according to the image reconstruction components, and obtaining the reconstructed unit processing images (S104); and generating a super-resolution image according to the N reconstructed unit processing images (S105). By means of the noise reduction method, in the molecular localization super-resolution imaging method, the problem of low localization precision in the case of high-density labeled samples can be solved.
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Inventors:
QU JUNLE (CN)
CHEN BINGLING (CN)
PAN WENHUI (CN)
YANG ZHIGANG (CN)
CHEN BINGLING (CN)
PAN WENHUI (CN)
YANG ZHIGANG (CN)
Application Number:
PCT/CN2018/104992
Publication Date:
March 19, 2020
Filing Date:
September 11, 2018
Export Citation:
Assignee:
UNIV SHENZHEN (CN)
International Classes:
G06T3/40; G06T5/00
Foreign References:
| CN103091297A | 2013-05-08 | |||
| CN104515760A | 2015-04-15 | |||
| CN104463808A | 2015-03-25 | |||
| CN108090872A | 2018-05-29 | |||
| US8913121B2 | 2014-12-16 |
Other References:
MAROIS, A. L. ET AL.: "Noise-Corrected Principal Component Analysis of fluorescence lifetime imaging data", JOURNAL OF BIOPHOTONICS, vol. 10, no. 9, 13 December 2016 (2016-12-13), pages 1124 - 1126, ISSN: 1864-0648
LI, JIA ET AL.: "Efficient image reconstruction of high-density molecules with augmented Lagrangian method in super-resolution microscopy", OPTICS EXPRESS, vol. 26, no. 19, 4 September 2018 (2018-09-04), pages 24329 - 24342, XP055695481, ISSN: 1094-4087
LI, JIA ET AL.: "Efficient image reconstruction of high-density molecules with augmented Lagrangian method in super-resolution microscopy", OPTICS EXPRESS, vol. 26, no. 19, 4 September 2018 (2018-09-04), pages 24329 - 24342, XP055695481, ISSN: 1094-4087
Attorney, Agent or Firm:
HENSEN INTELLECTUAL PROPERTY FIRM (CN)
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