High-performance Mueller matrix imaging polarimeter based on liquid crystal variable retarders

Xiang Ma; Jinxian Wu; Yujie Hu; Yanqiu Li

doi:10.1117/12.3048047

High-performance Mueller matrix imaging polarimeter based on liquid crystal variable retarders

Xiang Ma
, Jinxian Wu
, Yujie Hu
, Yanqiu Li^*

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The Mueller Matrix Imaging Polarimeter (MMIP) has attracted widespread attention in biomedical fields, including endoscopy, cancer diagnosis, and characterization of tissue optical clearing. Achieving fast detection and high measurement accuracy is vital for these applications of MMIP. Therefore, an automated data acquisition and processing system is very important for the effective application of MMIP. We have demonstrated the implementation of an MMIP setup using liquid crystal variable phase retarders (LCVRs) and corresponding software programmed in LabVIEW for efficient data acquisition and processing. The measurement results of air show that the LCVRs-MMIP achieves high measurement accuracy (error≤0.17%). Additionally, measurements on polarizers, wave plates, and vortex wave plates further demonstrate the high-performance capabilities of the LCVRs-MMIP.

Original language	English
Title of host publication	AOPC 2024
Subtitle of host publication	Computational Imaging Technology
Editors	Ping Su
Publisher	SPIE
ISBN (Electronic)	9781510687912
DOIs	https://doi.org/10.1117/12.3048047
Publication status	Published - 2024
Event	2024 Applied Optics and Photonics China: Computational Imaging Technology, AOPC 2024 - Beijing, China Duration: 23 Jul 2024 → 26 Jul 2024

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	13501
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	2024 Applied Optics and Photonics China: Computational Imaging Technology, AOPC 2024
Country/Territory	China
City	Beijing
Period	23/07/24 → 26/07/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

automatic detection
Mueller matrix
polarimeter

Access to Document

10.1117/12.3048047

Cite this

@inproceedings{661e3ef455ec494ca1d7a33402a45f87,

title = "High-performance Mueller matrix imaging polarimeter based on liquid crystal variable retarders",

abstract = "The Mueller Matrix Imaging Polarimeter (MMIP) has attracted widespread attention in biomedical fields, including endoscopy, cancer diagnosis, and characterization of tissue optical clearing. Achieving fast detection and high measurement accuracy is vital for these applications of MMIP. Therefore, an automated data acquisition and processing system is very important for the effective application of MMIP. We have demonstrated the implementation of an MMIP setup using liquid crystal variable phase retarders (LCVRs) and corresponding software programmed in LabVIEW for efficient data acquisition and processing. The measurement results of air show that the LCVRs-MMIP achieves high measurement accuracy (error≤0.17\%). Additionally, measurements on polarizers, wave plates, and vortex wave plates further demonstrate the high-performance capabilities of the LCVRs-MMIP.",

keywords = "automatic detection, Mueller matrix, polarimeter",

author = "Xiang Ma and Jinxian Wu and Yujie Hu and Yanqiu Li",

note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; 2024 Applied Optics and Photonics China: Computational Imaging Technology, AOPC 2024 ; Conference date: 23-07-2024 Through 26-07-2024",

year = "2024",

doi = "10.1117/12.3048047",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Ping Su",

booktitle = "AOPC 2024",

address = "United States",

}

Ma, X, Wu, J, Hu, Y & Li, Y 2024, High-performance Mueller matrix imaging polarimeter based on liquid crystal variable retarders. in P Su (ed.), AOPC 2024: Computational Imaging Technology., 135010F, Proceedings of SPIE - The International Society for Optical Engineering, vol. 13501, SPIE, 2024 Applied Optics and Photonics China: Computational Imaging Technology, AOPC 2024, Beijing, China, 23/07/24. https://doi.org/10.1117/12.3048047

High-performance Mueller matrix imaging polarimeter based on liquid crystal variable retarders. / Ma, Xiang; Wu, Jinxian; Hu, Yujie et al.
AOPC 2024: Computational Imaging Technology. ed. / Ping Su. SPIE, 2024. 135010F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13501).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - High-performance Mueller matrix imaging polarimeter based on liquid crystal variable retarders

AU - Ma, Xiang

AU - Wu, Jinxian

AU - Hu, Yujie

AU - Li, Yanqiu

PY - 2024

Y1 - 2024

N2 - The Mueller Matrix Imaging Polarimeter (MMIP) has attracted widespread attention in biomedical fields, including endoscopy, cancer diagnosis, and characterization of tissue optical clearing. Achieving fast detection and high measurement accuracy is vital for these applications of MMIP. Therefore, an automated data acquisition and processing system is very important for the effective application of MMIP. We have demonstrated the implementation of an MMIP setup using liquid crystal variable phase retarders (LCVRs) and corresponding software programmed in LabVIEW for efficient data acquisition and processing. The measurement results of air show that the LCVRs-MMIP achieves high measurement accuracy (error≤0.17%). Additionally, measurements on polarizers, wave plates, and vortex wave plates further demonstrate the high-performance capabilities of the LCVRs-MMIP.

AB - The Mueller Matrix Imaging Polarimeter (MMIP) has attracted widespread attention in biomedical fields, including endoscopy, cancer diagnosis, and characterization of tissue optical clearing. Achieving fast detection and high measurement accuracy is vital for these applications of MMIP. Therefore, an automated data acquisition and processing system is very important for the effective application of MMIP. We have demonstrated the implementation of an MMIP setup using liquid crystal variable phase retarders (LCVRs) and corresponding software programmed in LabVIEW for efficient data acquisition and processing. The measurement results of air show that the LCVRs-MMIP achieves high measurement accuracy (error≤0.17%). Additionally, measurements on polarizers, wave plates, and vortex wave plates further demonstrate the high-performance capabilities of the LCVRs-MMIP.

KW - automatic detection

KW - Mueller matrix

KW - polarimeter

UR - https://www.scopus.com/pages/publications/85213994059

U2 - 10.1117/12.3048047

DO - 10.1117/12.3048047

M3 - Conference contribution

AN - SCOPUS:85213994059

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - AOPC 2024

A2 - Su, Ping

PB - SPIE

T2 - 2024 Applied Optics and Photonics China: Computational Imaging Technology, AOPC 2024

Y2 - 23 July 2024 through 26 July 2024

ER -

High-performance Mueller matrix imaging polarimeter based on liquid crystal variable retarders

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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