Improving signal-to-noise ratio of structured light microscopy based on photon reassignment
In this paper, we report a method for 3D visualization of a biological specimen utilizing a structured light wide-field microscopic imaging system. This method improves on existing structured light imaging modalities by reassigning fluorescence photons generated from off-focal plane excitation, impr...
Saved in:
Main Authors: | , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
|
Online Access: | https://hdl.handle.net/10356/96324 http://hdl.handle.net/10220/10165 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-96324 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-963242022-02-16T16:27:05Z Improving signal-to-noise ratio of structured light microscopy based on photon reassignment Singh, Vijay Raj Choi, Heejin Yew, Elijah Y. S. Bhattacharya, Dipanjan Yuan, Luo Sheppard, Colin J. R. Rajapakse, Jagath C. Barbastathis, George So, Peter T. C. School of Computer Engineering In this paper, we report a method for 3D visualization of a biological specimen utilizing a structured light wide-field microscopic imaging system. This method improves on existing structured light imaging modalities by reassigning fluorescence photons generated from off-focal plane excitation, improving in-focus signal strength. Utilizing a maximum likelihood approach, we identify the most likely fluorophore distribution in 3D that will produce the observed image stacks under structured and uniform illumination using an iterative maximization algorithm. Our results show the optical sectioning capability of tissue specimens while mostly preserving image stack photon count, which is usually not achievable with other existing structured light imaging methods. Published version 2013-06-11T03:26:20Z 2019-12-06T19:28:58Z 2013-06-11T03:26:20Z 2019-12-06T19:28:58Z 2011 2011 Journal Article Singh, V. R., Choi, H., Yew, E. Y. S., Bhattacharya, D., Yuan, L., Sheppard, C. J. R., et al. (2012). Improving signal-to-noise ratio of structured light microscopy based on photon reassignment. Biomedical Optics Express, 3(1), 206-214. https://hdl.handle.net/10356/96324 http://hdl.handle.net/10220/10165 10.1364/BOE.3.000206 22254180 en Biomedical optics express © 2011 Optical Society of America. This paper was published in Biomedical Optics Express and is made available as an electronic reprint (preprint) with permission of Optical Society of America. The paper can be found at the following official DOI: [http://dx.doi.org/10.1364/BOE.3.000206]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
description |
In this paper, we report a method for 3D visualization of a biological specimen utilizing a structured light wide-field microscopic imaging system. This method improves on existing structured light imaging modalities by reassigning fluorescence photons generated from off-focal plane excitation, improving in-focus signal strength. Utilizing a maximum likelihood approach, we identify the most likely fluorophore distribution in 3D that will produce the observed image stacks under structured and uniform illumination using an iterative maximization algorithm. Our results show the optical sectioning capability of tissue specimens while mostly preserving image stack photon count, which is usually not achievable with other existing structured light imaging methods. |
author2 |
School of Computer Engineering |
author_facet |
School of Computer Engineering Singh, Vijay Raj Choi, Heejin Yew, Elijah Y. S. Bhattacharya, Dipanjan Yuan, Luo Sheppard, Colin J. R. Rajapakse, Jagath C. Barbastathis, George So, Peter T. C. |
format |
Article |
author |
Singh, Vijay Raj Choi, Heejin Yew, Elijah Y. S. Bhattacharya, Dipanjan Yuan, Luo Sheppard, Colin J. R. Rajapakse, Jagath C. Barbastathis, George So, Peter T. C. |
spellingShingle |
Singh, Vijay Raj Choi, Heejin Yew, Elijah Y. S. Bhattacharya, Dipanjan Yuan, Luo Sheppard, Colin J. R. Rajapakse, Jagath C. Barbastathis, George So, Peter T. C. Improving signal-to-noise ratio of structured light microscopy based on photon reassignment |
author_sort |
Singh, Vijay Raj |
title |
Improving signal-to-noise ratio of structured light microscopy based on photon reassignment |
title_short |
Improving signal-to-noise ratio of structured light microscopy based on photon reassignment |
title_full |
Improving signal-to-noise ratio of structured light microscopy based on photon reassignment |
title_fullStr |
Improving signal-to-noise ratio of structured light microscopy based on photon reassignment |
title_full_unstemmed |
Improving signal-to-noise ratio of structured light microscopy based on photon reassignment |
title_sort |
improving signal-to-noise ratio of structured light microscopy based on photon reassignment |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/96324 http://hdl.handle.net/10220/10165 |
_version_ |
1725985722080428032 |