Geometric transformation adaptive optics (GTAO) for volumetric deep brain imaging through gradient-index lenses.

Geometric transformation adaptive optics (GTAO) for volumetric deep brain imaging through gradient-index lenses.
复制标题

DOI:
10.1038/s41467-024-45434-5
复制
发表时间:
2024-02-03
影响因子:
16.6
通讯作者:
Cui, Meng
Cui, Meng
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Li, Yuting;Cheng, Zongyue;Wang, Chenmao;Lin, Jianian;Jiang, Hehai;Cui, Meng

文献摘要

参考文献

相似文献

遗传功能指标的进步使得能够以单细胞分辨率观察神经元活动。在哺乳动物大脑上应用的一个主要挑战是有限的光学访问深度。目前,进入大脑深部结构的首选方法是插入微型光学元件。在这些微型光学器件中,梯度折射率(GRIN)透镜因其结构简单、体积小而得到广泛应用。然而,由于强的四阶像散,GRIN透镜具有小的成像视场,这严重限制了测量吞吐量和成功率。为了克服这些挑战,我们开发了几何变换自适应光学(GTAO),通过GRIN透镜实现自适应消色差大体积校正。我们通过小鼠大脑的体内结构和功能成像来展示其主要进展。结果表明,GTAO可以作为一种多功能的解决方案,通过GRIN透镜大容量记录深部脑结构和活动。广泛用于脑深部功能成像的GRIN透镜由于强四阶像散而遭受小的测量视场。在本文中,作者报告了几何变换自适应光学(GTAO),该技术可校正场依赖性散光,并通过0.5 mm GRIN透镜实现小鼠深部脑的大体积体内成像。
The advance of genetic function indicators has enabled the observation of neuronal activities at single-cell resolutions. A major challenge for the applications on mammalian brains is the limited optical access depth. Currently, the method of choice to access deep brain structures is to insert miniature optical components. Among these validated miniature optics, the gradient-index (GRIN) lens has been widely employed for its compactness and simplicity. However, due to strong fourth-order astigmatism, GRIN lenses suffer from a small imaging field of view, which severely limits the measurement throughput and success rate. To overcome these challenges, we developed geometric transformation adaptive optics (GTAO), which enables adaptable achromatic large-volume correction through GRIN lenses. We demonstrate its major advances through in vivo structural and functional imaging of mouse brains. The results suggest that GTAO can serve as a versatile solution to enable large-volume recording of deep brain structures and activities through GRIN lenses. The GRIN lenses widely used for deep brain functional imaging suffer from a small measurement field of view due to strong fourth-order astigmatism. Here the authors report Geometric Transformation Adaptive Optics (GTAO) that corrects field-dependent astigmatism and enables large-volume in vivo imaging of deep mouse brain through 0.5 mm GRIN lenses.
DOI: 10.7554/elife.58882
发表时间: 2020-10-13
期刊: eLife
影响因子: 7.7
作者:
Antonini A;Sattin A;Moroni M;Bovetti S;Moretti C;Succol F;Forli A;Vecchia D;Rajamanickam VP;Bertoncini A;Panzeri S;Liberale C;Fellin T
通讯作者: Fellin T
DOI: 10.1038/nprot.2016.021
发表时间: 2016-03
期刊: Nature protocols
影响因子: 14.8
作者:
Resendez SL;Jennings JH;Ung RL;Namboodiri VM;Zhou ZC;Otis JM;Nomura H;McHenry JA;Kosyk O;Stuber GD
通讯作者: Stuber GD
DOI: 10.1038/nn.3867
发表时间: 2014-12
影响因子: 25
作者:
Lecoq J;Savall J;Vučinić D;Grewe BF;Kim H;Li JZ;Kitch LJ;Schnitzer MJ
通讯作者: Schnitzer MJ
DOI: 10.1126/sciadv.adg3918
发表时间: 2023-04-21
期刊: SCIENCE ADVANCES
影响因子: 13.6
作者:
Guo, Changliang;Blair, Garrett J.;Sehgal, Megha;Jimka, Federico N. Sangiuliano;Bellafard, Arash;Silva, Alcino J.;Golshani, Peyman;Basso, Michele A.;Blair, Hugh Tad;Aharoni, Daniel
通讯作者: Aharoni, Daniel
DOI: 10.1038/s41592-018-0266-x
发表时间: 2019-01
期刊: Nature methods
影响因子: 48
作者:
Aharoni D;Khakh BS;Silva AJ;Golshani P
通讯作者: Golshani P