| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2024-09-04 |
| タイトル |
|
|
タイトル |
Adaptive Optics Microscopy with Wavefront Sensing Based on Neighbor Correlation |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源 |
http://purl.org/coar/resource_type/c_6501 |
|
タイプ |
journal article |
| アクセス権 |
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|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
Noriaki Miura
Yusuke Ashida
Yuya Matsuda
Takatoshi Shibuya
Yosuke Tamada
Shuto Hatsumi
Hirotsugu Yamamoto
Ikumi Kajikawa
Yasuhiro Kamei
Masayuki Hattori
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| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
Complex structures in living cells and tissues induce wavefront errors when light waves pass through them, and images observed with optical microscopes are undesirably blurred. This problem is especially serious for living plant cells because images are strikingly degraded even within a single cell. Adaptive optics (AO) is expected to be a solution to this problem by correcting such wavefront errors, thus enabling high-resolution imaging. In particular, scene-based AO involves wavefront sensing based on the image correlation between subapertures in a Shack–Hartmann wavefront sensor and thus does not require an intense point light source. However, the complex 3D structures of living cells often cause low correlation between subimages, leading to loss of accuracy in wavefront sensing. This paper proposes a novel method for scene-based sensing using only image correlations between adjacent subapertures. The method can minimize changes between subimages to be correlated and thus prevent inaccuracy in phase estimation. Using an artificial test target mimicking the optical properties of a layer of living plant cells, an imaging performance with a Strehl ratio of approximately 0.5 was confirmed. Upon observation of chloroplast autofluorescence inside living leaf cells of the moss Physcomitrium patens, recovered resolution images were successfully obtained even with complex biological structures. Under bright-field illumination, the proposed method outperformed the conventional method, demonstrating the future potential of this method for label- and damage-free AO microscopy. Several points for improvement in terms of the effect of AO correction are discussed. |
|
言語 |
en |
| 書誌情報 |
en : Plant and Cell Physiology
巻 64,
号 11,
p. 1372-1382,
発行日 2023-11
|
| ISSN |
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収録物識別子タイプ |
EISSN |
|
収録物識別子 |
1471-9053 |
| DOI |
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|
識別子タイプ |
DOI |
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関連識別子 |
10.1093/pcp/pcad138 |
| 権利 |
|
|
言語 |
en |
|
権利情報 |
c2023 Oxford University Press This is a pre-copyedited, author-produced version of an article accepted for publication in Plant and Cell Physiology following peer review. The version of record [Noriaki Miura, Yusuke Ashida, Yuya Matsuda, Takatoshi Shibuya, Yosuke Tamada, Shuto Hatsumi, Hirotsugu Yamamoto, Ikumi Kajikawa, Yasuhiro Kamei, Masayuki Hattori, Adaptive Optics Microscopy with Wavefront Sensing Based on Neighbor Correlation, Plant and Cell Physiology, Volume 64, Issue 11, November 2023, Pages 1372–1382, https://doi.org/10.1093/pcp/pcad138] is available online at: xxxxxxx [https://academic.oup.com/pcp/article-abstract/64/11/1372/7335853?redirectedFrom=fulltext.https://doi.org/10.1093/pcp/pcad138]. |
| 出版者 |
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|
出版者 |
Oxford University Press |
|
言語 |
en |
| 著者版フラグ |
|
|
言語 |
en |
|
値 |
author |
| 出版タイプ |
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|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
PCP-2023-E-00015.R2_Proof_hi-1.pdf (3.1 MB)
