A sensitive orange fluorescent calcium ion indicator for imaging neural activity

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Authors: Abhi Aggarwal, Heather A. Baker, Céline D. Dürst, I-Wen Chen, Pablo de Chambrier, Carrie Stine, Julia Marie Gonzales, Jonathan S. Marvin, Milène Vandal, Torgny Lundberg, Cherie A. Brown-Panton, Kenryo Sakoi
+18 more Ronak H. Patel, Chenger Wang, Frank Visser, Yannick Fouad, Smrithi Sunil, Matthew D. Wiens, Takuya Terai, Kei Takahashi, Roger J. Thompson, Timothy A. Brown, Yusuke Nasu, Minh Dang Nguyen, Grant Robert Gordon, Sarah McFarlane, Kaspar Podgorski, Anthony J. D. G. Holtmaat, Robert E. Campbell, Alexander W. Lohman
Cited by: 1
References: 34

Abstract

Genetically encoded calcium indicators (GECIs) are vital tools for fluorescence-based visualization of neuronal activity with high spatial and temporal resolution. However, current highest-performance GECIs are predominantly green or red fluorescent, limiting multiplexing options and efficient excitation with fixed-wavelength femtosecond lasers operating at 1030 nm. In an effort to overcome these limitations, we developed OCaMP, an orange fluorescent GECI engineered from O-GECO1 through targeted substitutions to improve calcium affinity while retaining the favorable photophysical properties of mOrange2. OCaMP exhibits improved two-photon cross-section, responsiveness, photostability, and calcium affinity relative to O-GECO1. In cultured neurons, zebrafish, and mouse cortex, OCaMP outperforms the red GECIs jRCaMP1a and jRGECO1a in sensitivity, photostability, and signal-to-noise ratio. Here we show that OCaMP, an orange fluorescent GECI, is a robust tool for high-fidelity neural imaging optimized for wavelengths above 1000 nm and a practical option within the spectral gap between existing green and red GECIs.

Fields of Study & Subjects

Neuroscience and Neuropharmacology Research Photoreceptor and optogenetics research Advanced Fluorescence Microscopy Techniques

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
22 June 2026
Language
EN