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Analytical model enabling the correction of absorption and scattering in dual-color ratiometric multiphoton microscopy of brain tissue.

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Paper

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The authors' code

License · 21 lines · 1 KB · MIT

  1. MIT License
  2. Copyright (c) 2026 laboratory-charpak
  3. Permission is hereby granted, free of charge, to any person obtaining a copy
  4. of this software and associated documentation files (the "Software"), to deal
  5. in the Software without restriction, including without limitation the rights
  6. to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  7. copies of the Software, and to permit persons to whom the Software is
  8. furnished to do so, subject to the following conditions:
  9. The above copyright notice and this permission notice shall be included in all
  10. copies or substantial portions of the Software.
  11. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  12. IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  13. FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  14. AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  15. LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  16. OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  17. SOFTWARE.

LICENSE at commit 55bccdd, under MIT · at the source

Overview

  1. Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
  2. Université de Strasbourg, CNRS, Laboratoire de Chémo-Biologie Synthétique et Thérapeutique (CBST) UMR 7199, Chemistry of Photoresponsive Systems, Illkirch, France
Institutions: Sorbonne Université (France); Université de Strasbourg (France)
Journal: Neurophotonics, volume 13, issue 3, article 035007
Dates: received 13 January 2026; accepted 21 July 2026; published online 3 September 2026; in print July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1117/1.nph.13.3.035007 · PMID 42694932 · PMCID PMC13540261 · OpenAlex W7207841814
Open access: gold, a free copy (OpenAlex)
Status: code verified
Methods: fMRI & imaging
Keywords: multiphoton microscopy, ratiometric measurements, cerebral cortex imaging, absorption, scattering
Topic: Advanced Fluorescence Microscopy Techniques (Biophysics, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Citations: not cited yet (Europe PMC); 88 references in the paper

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

Its files are read in the Code ↔ Paper reader above.

laboratory-charpak/Multiphoton-Ratiometric-Measurements-Model

License: MIT
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 55bccdde8cfcadc2c771bd5bd696e1e148704185, 13 July 2026
Languages: MATLAB (19)
Size: 90 files, 19 scripts
Software Heritage: not archived
Found in: “Code and Data Availability”
Holds: README, license file, 19 notebooks
Not found: CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
21 files

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 19 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Code and Data Availability

The data presented in this article and developed code are publicly available in GitHub at https://github.com/laboratory-charpak/Multiphoton-Ratiometric-Measurements-Model.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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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://doi.org/10.1117/1.nph.13.3.035007

BibTeX

@article{chaigneau2026analytical,
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 = {10.1117/1.nph.13.3.035007},
url = {https://doi.org/10.1117/1.nph.13.3.035007},
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 - 2026/07/01
VL - 13
IS - 3
SP - 035007
SN - 2329-423X
PB - Society of Photo-Optical Instrumentation Engineers
DO - 10.1117/1.nph.13.3.035007
UR - https://doi.org/10.1117/1.nph.13.3.035007
LA - en
ER -

CSL-JSON

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