体内
荧光
索马
模态(人机交互)
钙
神经科学
钙显像
化学
临床前影像学
生物物理学
生物
物理
计算机科学
光学
人工智能
有机化学
生物技术
作者
Shihao Zhou,Qiyu Zhu,Minho Eom,Shilin Fang,Oksana M. Subach,Ran Chen,Jonnathan Singh Alvarado,Praneel S Sunkavalli,Yuanping Dong,Yangdong Wang,Jiewen Hu,Hanbin Zhang,Zhiyuan Wang,Xiaoting Sun,Tao Yang,Yu Mu,Young‐Gyu Yoon,Zengcai V. Guo,Fedor V. Subach,Kiryl D. Piatkevich
标识
DOI:10.1101/2025.01.31.635851
摘要
Abstract Recent advancements in genetically encoded calcium indicators, particularly those based on green fluorescent proteins, have optimized their performance for monitoring neuronal activities in a variety of model organisms. However, progress in developing red-shifted GECIs, despite their advantages over green indicators, has been slower, resulting in fewer options for end-users. In this study, we explored topological inversion and soma-targeting strategies, which are complementary to conventional mutagenesis, to re-engineer a red genetically encoded calcium indicator, FRCaMP, for enhanced in vivo performance. The resulting sensors, FRCaMPi and soma-targeted FRCaMPi (SomaFRCaMPi), exhibit up to 2-fold higher dynamic range and peak ΔF/F 0 per single AP compared to widely used jRGECO1a in neurons in culture and in vivo . Compared to jRGECO1a and FRCaMPi, SomaFRCaMPi reduces erroneous correlation of neuronal activity in the brains of mice and zebrafish by two- to four-fold due to diminished neuropil contamination without compromising the signal-to-noise ratio. Under wide-field imaging in primary somatosensory and visual cortex in mice with high labeling density (80-90%), SomaFRCaMPi exhibits up to 40% higher SNR and decreased artifactual correlation across neurons. Altogether, SomaFRCaMPi improves the accuracy and scale of neuronal activity imaging at single-neuron resolution in densely labeled brain tissues due to a 2-3-fold enhanced automated neuronal segmentation, 50% higher fraction of responsive cells, up to 2-fold higher SNR compared to jRGECO1a. Our findings highlight the potential of SomaFRCaMPi, comparable to the most sensitive soma-targeted GCaMP, for precise spatial recording of neuronal populations using popular imaging modalities in model organisms such as zebrafish and mice.
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