A sliding-window data aggregation method for super-resolution imaging of live cells

Kuan Chieh Jackie Chen, Yiyi Yu, Jelena Kovacevic, Ge Yang

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

Abstract

Super resolution localization microscopy (SRLM) techniques such as STORM and PALM overcome the ∼200nm diffraction limit of conventional light microscopy by randomly activating separate fluorophores over time and computationally aggregating their nanometer resolution detected locations for image reconstruction. However, a basic limitation of current SRLM approaches for live cell imaging is their low temporal resolution due to motion blur, which arises if image objects move during image acquisition of the substantial number of raw images required for constructing the super-resolution image for a given time point. To overcome this limitation, we propose a sliding-window data aggregation method, which exploits the temporal correlation between the collected fluorescence images to achieve significantly higher frame rate and therefore better temporal resolution than current approaches. Specifically, images within a sliding window are aligned so that locations of detected fluorophores within them are aggregated to accelerate image reconstruction for higher temporal resolution. We tested and validated our method using both simulated and real live cell STORM image data.

Original languageEnglish (US)
Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PublisherIEEE Computer Society
Pages785-788
Number of pages4
Volume2015-July
ISBN (Electronic)9781479923748
DOIs
StatePublished - Jan 1 2015
Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
Duration: Apr 16 2015Apr 19 2015

Other

Other12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
CountryUnited States
CityBrooklyn
Period4/16/154/19/15

Fingerprint

Fluorophores
Image reconstruction
Microscopic examination
Agglomeration
Imaging techniques
Image acquisition
Image resolution
Optical microscopy
Microscopy
Computer-Assisted Image Processing
Diffraction
Fluorescence
Light

Keywords

  • fluorescence imaging
  • live cell imaging
  • STORM
  • Super-resolution microscopy

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Chen, K. C. J., Yu, Y., Kovacevic, J., & Yang, G. (2015). A sliding-window data aggregation method for super-resolution imaging of live cells. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015 (Vol. 2015-July, pp. 785-788). [7163989] IEEE Computer Society. https://doi.org/10.1109/ISBI.2015.7163989

A sliding-window data aggregation method for super-resolution imaging of live cells. / Chen, Kuan Chieh Jackie; Yu, Yiyi; Kovacevic, Jelena; Yang, Ge.

2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. Vol. 2015-July IEEE Computer Society, 2015. p. 785-788 7163989.

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

Chen, KCJ, Yu, Y, Kovacevic, J & Yang, G 2015, A sliding-window data aggregation method for super-resolution imaging of live cells. in 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. vol. 2015-July, 7163989, IEEE Computer Society, pp. 785-788, 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 4/16/15. https://doi.org/10.1109/ISBI.2015.7163989
Chen KCJ, Yu Y, Kovacevic J, Yang G. A sliding-window data aggregation method for super-resolution imaging of live cells. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. Vol. 2015-July. IEEE Computer Society. 2015. p. 785-788. 7163989 https://doi.org/10.1109/ISBI.2015.7163989
Chen, Kuan Chieh Jackie ; Yu, Yiyi ; Kovacevic, Jelena ; Yang, Ge. / A sliding-window data aggregation method for super-resolution imaging of live cells. 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. Vol. 2015-July IEEE Computer Society, 2015. pp. 785-788
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