Liu, B., Xiong, J., Liu, J., Zhang, H., Xu, B., Hou, L. , Marsh, J. H. and Liu, X. (2021) Modulated Rotating Orthogonal Polarization Parametric Imaging, a Preliminary Study. In: International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD2021), Birmingham, UK, 25-26 May 2021, pp. 108-115. ISBN 9789811638794 (doi: 10.1007/978-981-16-3880-0_12)
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Abstract
We propose a new microscopic imaging technique in which the polarization angles of illumination light and a polarizer in front of the imaging sensor oriented orthogonally to the illumination polarization are rotated synchronously. A series of images of cervical cells was recorded under different illumination polarization angles and an algorithm was used to fit the pixel intensity variations of the images. A reconstruction method was employed to map the anisotropic properties of cervical cells in the form of a set of polarization parameters. Analysis of the images of the cervical cells and comparison with traditional methods indicate that this technique provides higher contrast and sensitivity.
| Item Type: | Conference Proceedings |
|---|---|
| Additional Information: | Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 784: 108-115). This work was supported by the National Key Scientific Instruments and Equipment Development Project under Grant No. 61827814, Natural Science Foundation of Beijing Municipality under Grant No. Z190018, the Fundamental Research Funds for the Central Universities under Grant No. 30920010011 the Postdoctoral Foundation of Jiangsu Province under Grant No. 2020Z331, and the Ministry of Education collaborative project B17023. The authors would like to acknowledge support from the UK Engineering and Physical Sciences Research Council (Grant EP/R042578/1). |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Liu, Professor Xuefeng and Hou, Dr Lianping and Marsh, Professor John |
| Authors: | Liu, B., Xiong, J., Liu, J., Zhang, H., Xu, B., Hou, L., Marsh, J. H., and Liu, X. |
| College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
| ISSN: | 1876-1100 |
| ISBN: | 9789811638794 |
| Published Online: | 15 August 2021 |
| Copyright Holders: | Copyright © 2021 Springer |
| First Published: | First published in Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) |
| Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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