Structure-based determination of imaging length for super-resolution localization microscopy

Kuan Chieh Jackie Chen, Jelena Kovacevic, Ge Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Localization-based super-resolution techniques are revolutionizing biological research by breaking the diffraction limit of fluorescence microscopy. Each super-resolution image is reconstructed from a time series of images of randomly activated fluorophores. Here, a fundamental question is to determine the minimal imaging length so that the reconstructed image faithfully reflects the biological structures under observation. So far, proposed methods focus entirely on image resolution, which reflects localization uncertainty and fluorophore density, without taking into account the fact that images of biological structures are structured rather than random patterns. Here, we propose a different approach to determine imaging length based on direct quantification of image structural information using Gabor filters. Experimental results show that this approach is superior over approaches that only account for image-intensity distribution, confirming the importance of using structural information. In contrast to resolution-based methods, our method does not require an artificial selection of image resolution and provides a statistically rigorous strategy for determining imaging length based on image structural information.

Original languageEnglish (US)
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages991-994
Number of pages4
ISBN (Electronic)9781467319591
StatePublished - Jan 1 2014
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
Duration: Apr 29 2014May 2 2014

Other

Other2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
CountryChina
CityBeijing
Period4/29/145/2/14

Fingerprint

Image resolution
Microscopy
Microscopic examination
Fluorophores
Imaging techniques
Gabor filters
Fluorescence microscopy
Fluorescence Microscopy
Uncertainty
Time series
Diffraction
Observation
Research

Keywords

  • Determining imaging length
  • Fluorescence imaging
  • STORM
  • Super-resolution microscopy

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Chen, K. C. J., Kovacevic, J., & Yang, G. (2014). Structure-based determination of imaging length for super-resolution localization microscopy. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 991-994). [6868039] Institute of Electrical and Electronics Engineers Inc..

Structure-based determination of imaging length for super-resolution localization microscopy. / Chen, Kuan Chieh Jackie; Kovacevic, Jelena; Yang, Ge.

2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 991-994 6868039.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, KCJ, Kovacevic, J & Yang, G 2014, Structure-based determination of imaging length for super-resolution localization microscopy. in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014., 6868039, Institute of Electrical and Electronics Engineers Inc., pp. 991-994, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Beijing, China, 4/29/14.
Chen KCJ, Kovacevic J, Yang G. Structure-based determination of imaging length for super-resolution localization microscopy. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 991-994. 6868039
Chen, Kuan Chieh Jackie ; Kovacevic, Jelena ; Yang, Ge. / Structure-based determination of imaging length for super-resolution localization microscopy. 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 991-994
@inproceedings{d8057611ef1a4144b7ad04b95372e9b6,
title = "Structure-based determination of imaging length for super-resolution localization microscopy",
abstract = "Localization-based super-resolution techniques are revolutionizing biological research by breaking the diffraction limit of fluorescence microscopy. Each super-resolution image is reconstructed from a time series of images of randomly activated fluorophores. Here, a fundamental question is to determine the minimal imaging length so that the reconstructed image faithfully reflects the biological structures under observation. So far, proposed methods focus entirely on image resolution, which reflects localization uncertainty and fluorophore density, without taking into account the fact that images of biological structures are structured rather than random patterns. Here, we propose a different approach to determine imaging length based on direct quantification of image structural information using Gabor filters. Experimental results show that this approach is superior over approaches that only account for image-intensity distribution, confirming the importance of using structural information. In contrast to resolution-based methods, our method does not require an artificial selection of image resolution and provides a statistically rigorous strategy for determining imaging length based on image structural information.",
keywords = "Determining imaging length, Fluorescence imaging, STORM, Super-resolution microscopy",
author = "Chen, {Kuan Chieh Jackie} and Jelena Kovacevic and Ge Yang",
year = "2014",
month = "1",
day = "1",
language = "English (US)",
pages = "991--994",
booktitle = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Structure-based determination of imaging length for super-resolution localization microscopy

AU - Chen, Kuan Chieh Jackie

AU - Kovacevic, Jelena

AU - Yang, Ge

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Localization-based super-resolution techniques are revolutionizing biological research by breaking the diffraction limit of fluorescence microscopy. Each super-resolution image is reconstructed from a time series of images of randomly activated fluorophores. Here, a fundamental question is to determine the minimal imaging length so that the reconstructed image faithfully reflects the biological structures under observation. So far, proposed methods focus entirely on image resolution, which reflects localization uncertainty and fluorophore density, without taking into account the fact that images of biological structures are structured rather than random patterns. Here, we propose a different approach to determine imaging length based on direct quantification of image structural information using Gabor filters. Experimental results show that this approach is superior over approaches that only account for image-intensity distribution, confirming the importance of using structural information. In contrast to resolution-based methods, our method does not require an artificial selection of image resolution and provides a statistically rigorous strategy for determining imaging length based on image structural information.

AB - Localization-based super-resolution techniques are revolutionizing biological research by breaking the diffraction limit of fluorescence microscopy. Each super-resolution image is reconstructed from a time series of images of randomly activated fluorophores. Here, a fundamental question is to determine the minimal imaging length so that the reconstructed image faithfully reflects the biological structures under observation. So far, proposed methods focus entirely on image resolution, which reflects localization uncertainty and fluorophore density, without taking into account the fact that images of biological structures are structured rather than random patterns. Here, we propose a different approach to determine imaging length based on direct quantification of image structural information using Gabor filters. Experimental results show that this approach is superior over approaches that only account for image-intensity distribution, confirming the importance of using structural information. In contrast to resolution-based methods, our method does not require an artificial selection of image resolution and provides a statistically rigorous strategy for determining imaging length based on image structural information.

KW - Determining imaging length

KW - Fluorescence imaging

KW - STORM

KW - Super-resolution microscopy

UR - http://www.scopus.com/inward/record.url?scp=84927921396&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84927921396&partnerID=8YFLogxK

M3 - Conference contribution

SP - 991

EP - 994

BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -