Analytical model enabling the correction of absorption and scattering in dual-color ratiometric multiphoton microscopy of brain tissue.
Paper
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The authors' code
License · 21 lines · 1 KB · MIT
- MIT License
- Copyright (c) 2026 laboratory-charpak
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LICENSE at commit 55bccdd, under MIT · at the source
Overview
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
- Université de Strasbourg, CNRS, Laboratoire de Chémo-Biologie Synthétique et Thérapeutique (CBST) UMR 7199, Chemistry of Photoresponsive Systems, Illkirch, France
Abstract
Significance: Multiphoton microscopy with fluorescent indicators enables the monitoring of biomarker dynamics through changes in fluorescence intensity. However, quantitative interpretation remains challenging because fluorescence signals are highly sensitive to experimental conditions. Dual-color ratiometric approaches improve quantification, yet wavelength-dependent absorption and scattering of emitted photons can still introduce significant bias.
Aim: This study aimed to develop a correction method for absorption and scattering effects to achieve unbiased dual-color ratiometric measurements in multiphoton microscopy.
Approach: We developed an analytical model that incorporates the spectral optical properties of biological tissues and fluorophores. The model was applied to the rodent cerebral cortex parenchyma and to the lumen of individual blood vessels. Its predictions were evaluated using simulations and in vivo two-photon microscopy experiments.
Results: In the cerebral cortex parenchyma, absorption and scattering bias dual-color ratiometric measurements by up to ∼100% at depths of approximately ∼400 μm. Our model accurately describes and corrects these effects. Within the vessel lumen, however, the situation is more complex: the model effectively corrects the biases in veins, but not in arterioles.
Conclusions: Overall, the proposed model enhances the accuracy of biomarker quantification in multiphoton microscopy and provides practical tools for correcting optical biases in biological tissues.
Reproduced under the paper's license (CC BY), from the paper cited above.
Repository
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laboratory-charpak/Multiphoton-Ratiometric-Measurements-Model
55bccdde8cfcadc2c771bd5bd696e1e148704185, 13 July 2026Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
21 files
- Figure10_v2026Jun02/
Figure10_v2026Jun05.mlx — MATLAB, not shown here - Figure11=
S1_v2025Aug21/ — MATLAB, not shown hereFigure11_v2025Nov24.mlx - Figure12=
S2_v2025Dec03/ — MATLAB, not shown hereFigure12_v2025Dec03.mlx - Figure2and3_v2025Nov20/
Figure2_v2025Nov19.mlx — MATLAB, not shown here - Figure2and3_v2025Nov20/
Figure3_v2025Nov20.mlx — MATLAB, not shown here - Figure4_v2025Nov24/
Figure4_v2025Nov24.mlx — MATLAB, not shown here - Figure5_v2026Jun25/
Figure5_v2026Jul08.mlx — MATLAB, not shown here - Figure5_v2026Jun25/
FindAeAndXBloodOptAbScMo — MATLAB, not shown heredelPhi5.mlx - Figure5_v2026Jun25/
TricoliCoefs1234Phi.mlx — MATLAB, not shown here - Figure6_v2026Apr02/
Figure6_v2026Avr07.mlx — MATLAB, not shown here - Figure6_v2026Apr02/
FindAeOptAbScModelPhi.ml — MATLAB, not shown herex - Figure6_v2026Apr02/
TricoliCoefs1234Phi.mlx — MATLAB, not shown here - Figure7_v2026Jun29/
Figure7_v2026Jun29.mlx — MATLAB, not shown here - Figure7_v2026Jun29/
FindAeAndXBloodOptAbScMo — MATLAB, not shown heredelPhi5.mlx - Figure7_v2026Jun29/
TricoliCoefs1234Phi.mlx — MATLAB, not shown here - Figure8_v2026Apr09/
Figure8_v2026Mai15.mlx — MATLAB, not shown here - Figure8_v2026Apr09/
FindAeOptAbScModelPhi.ml — MATLAB, not shown herex - Figure8_v2026Apr09/
TricoliCoefs1234Phi.mlx — MATLAB, not shown here - Figure9_v2026Jul09/
Figure9_v2026Jul09.mlx — MATLAB, not shown here - LICENSE — License, 21 lines
- README.md — Text, 3 lines
The paper's code and data availability statement is in the Data section.
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Data
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Code and Data Availability
The data presented in this article and developed code are publicly available in GitHub at https://
Reproduced under the paper's license (CC BY), from the paper cited above.
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Version 2, 28 September 2026
- Funding: added Agence Nationale de la Recherche: CE14-0026-01, ANR-23-CE14-0026, ANR-24-CE19-6956, ANR-23; Institut National de la Santé et de la Recherche Médicale; Centre National de la Recherche Scientifique; Nature
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 5 keywords, 80 references.
Cite
This paper
Chaigneau, E., Tournissac, M., Walter, S., Collot, M., & Charpak, S. (2026). Analytical model enabling the correction of absorption and scattering in dual-color ratiometric multiphoton microscopy of brain tissue. Neurophotonics, 13(3), 035007. https://
BibTeX
@article{chaigneau2026an
author = {Chaigneau, Emmanuelle and Tournissac, Marine and Walter, Sophie and Collot, Mayeul and Charpak, Serge},
title = {{Analytical model enabling the correction of absorption and scattering in dual-color ratiometric multiphoton microscopy of brain tissue}},
journal = {Neurophotonics},
year = {2026},
month = jul,
volume = {13},
number = {3},
pages = {035007},
publisher = {Society of Photo-Optical Instrumentation Engineers},
issn = {2329-423X},
doi = {10.1117/
url = {https://
pmid = {42694932},
pmcid = {PMC13540261}
}
RIS
TY - JOUR
AU - Chaigneau, Emmanuelle
AU - Tournissac, Marine
AU - Walter, Sophie
AU - Collot, Mayeul
AU - Charpak, Serge
TI - Analytical model enabling the correction of absorption and scattering in dual-color ratiometric multiphoton microscopy of brain tissue
T2 - Neurophotonics
J2 - Neurophotonics
PY - 2026
DA - 2026/
VL - 13
IS - 3
SP - 035007
SN - 2329-423X
PB - Society of Photo-Optical Instrumentation Engineers
DO - 10.1117/
UR - https://
LA - en
ER -
CSL-JSON
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