| INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
Patterned line-illumination mesoscopy with a moving slit for enhancing background suppression in cortex-wide mouse brain imaging |
| Chaowei Zhuang(庄超玮)1,†, Yi Yang(杨懿)1,2,3,4, and Hao Xie(谢浩)5,6,‡ |
1 Zhejiang Hehu Technology Co., Ltd., Hangzhou 311121, China; 2 School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China; 3 Peng Cheng Laboratory, Shenzhen 518000, China; 4 Hangzhou Innovation Institute, Beihang University, Hangzhou 310052, China; 5 Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China; 6 Yangtze River Delta Physics Research Center Co., Ltd., Liyang 213300, China |
|
|
|
|
Abstract Wide-field mesoscopy provides the capabilities of cortex-wide field of view (FOV), cellular resolution and high frame rate for neuronal imaging in the mouse brain. However, inherent background fluorescence degrades the image quality and hinders neuronal signal extraction. To address this problem, we first introduce a cortex-wide, high-resolution line-illumination mesoscope with a moving slit designed for in vivo mouse brain imaging. This system achieves a 6.6$\times$6.6 mm FOV, microscale cellular resolution, a high frame rate of 10 Hz, as well as the background rejection ability. Furthermore, we integrated patterned illumination into the system to enhance the background suppression. Experimental results show that the proposed system successfully captures neurodynamics in the living mouse brain. Compared with conventional wide-field mesoscopes, the cortex-wide patterned line-illumination mesoscope (PLIM) achieves a threefold increase in the signal-to-background ratio (SBR). With patterned illumination integrated, the SBR enhancement further reaches four-and-a-half-fold.
|
Received: 14 May 2025
Revised: 12 July 2025
Accepted manuscript online: 28 July 2025
|
|
PACS:
|
87.85.Pq
|
(Biomedical imaging)
|
| |
87.19.lh
|
(Optical imaging of neuronal activity)
|
|
| Fund: H. Xie gratefully acknowledges the support from the National Natural Science Foundation of China (Grant No. 61971256). |
Corresponding Authors:
Chaowei Zhuang, Hao Xie
E-mail: zhuangchaowei@hehutek.com;xiehao@iphy.ac.cn
|
Cite this article:
Chaowei Zhuang(庄超玮), Yi Yang(杨懿), and Hao Xie(谢浩) Patterned line-illumination mesoscopy with a moving slit for enhancing background suppression in cortex-wide mouse brain imaging 2026 Chin. Phys. B 35 028704
|
[1] Lichtman J M and Conchello J A 2005 Nat. Methods 2 910 [2] Steinmetz N A, Zatka-Haas P, Carandini M and Harris K D 2019 Nature 576 266 [3] Kim E J, Juavinett A L, Kyubwa E M and Callaway E M 2015 Neuron 88 1253 [4] Roy D S, Park Y G, Kim M E, Zhang Y, Ogawa S K, DiNapoli N, Gu X, Cho J H, Choi H, Kamentsky L, Martin J, Mosto O, Aida T, Chung K and Tonegawa S 2022 Nat. Commun. 13 1 [5] Zhuang C, Cao J, Zhang R, Xiao G, Hu J, Xie H and Dai Q 2021 Biomed. Opt. Express 12 1858 [6] Zhang R, Zhuang C, Wang Z, Xiao G, Chen K, Li H, Tong L, Mi W, Xie H and Cao J 2022 Biosensors 12 567 [7] Werley C A, Chien M P and Cohen A E 2017 Biomed. Opt. Express 8 5794 [8] Kauvar I V, Machado T A, Yuen E, Kochalka J, Choi M, Allen W E, Wetzstein G and Deisseroth K 2020 Neuron 107 351 [9] Xie H, Han X, Xiao G, Xu H, Zhang Y, Zhang G, Li Q, He J, Zhu D, Yu X and Dai Q 2023 Nat. Biomed. Eng. 8 740 [10] Fan J, Suo J, Wu J, Xie H, Shen Y, Chen F, Wang G, Cao L, Jin G, He Q, Li T, Luan G, Kong L, Zheng Z and Dai Q 2019 Nat. Photonics 13 809 [11] Neil M, Juskaitis R and Wilson T 1997 Opt. Lett. 22 1905 [12] Lim D, Ford T N, Chu K K and Mertz J 2011 J. Biomed. Opt. 16 016014 [13] Shi R, Jin C, Xie H, Zhang Y, Li X, Dai Q and Kong L 2019 Biomed. Opt. Express 10 6625 [14] McNally J G, Karpova T, Cooper J and Conchello J A 1999 Methods 19 373 [15] Li C, Gao L, Liu Y and Wang L V 2013 Appl. Phys. Lett. 103 183703 [16] Zhao W, Feng Z and Qiu L 2007 Chin. Phys. 16 1624 [17] White J G, Amos W B and Fordham M 1987 J. Cell Biol. 105 41 [18] Denk W, Strickler J H and Webb W W 1990 Science 248 73 [19] Helmchen F and Denk W 2005 Nat. Methods 2 932 [20] Zhang N, Zhou L, Liu X,Wei Z, Liu H, Lan S, Meng Z and Fan H 2021 Chin. Phys. B 30 044204 [21] McConnell G, Tragardh J, Amor R, Dempster J, Reid E and Amos W B 2016 Elife 5 e18659 [22] Sofroniew N J, Flickinger D, King J and Svoboda K 2016 Elife 5 e14472 [23] Yu C H, Stirman J N, Yu Y, Hira R and Smith S L 2021 Nat. Commun. 12 6639 [24] Wolleschensky R, Zimmermann B and Kempe M 2006 J. Biomed. Opt. 11 064011 [25] Poher V, Kennedy G T, Manning H B, Owen D M, Zhang, H X, Gu E, Dawson M D, French P MW and Neil M AA 2008 Opt. Lett. 33 1813 [26] Jeong H W, Kim H J, Eun J, Heo S, Lim M, Cho Y H and Kim B M 2015 Appl. Opt. 54 3811 [27] Mei E, Fomitchov P A, Graves R and Campion M 2012 Journal of Microscopy 247 269 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|