Evidence map›Paper›PMID 40775235›Full record

ArticleLight, science & applications2025

Multi-photon, label-free photoacoustic and optical imaging of NADH in brain cells.

Tatsuya Osaki, W David Lee, Xiang Zhang, Rebecca E Zubajlo, Mercedes Balcells-Camps, Elazer R Edelman, Brian W Anthony, Mriganka Sur, Peter T C So

Abstract read
In one paragraph

Article in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Tatsuya Osaki *Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7174-0629
W David Lee *Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Xiang Zhang *Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3130-8337
Rebecca E Zubajlo *Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9051-5275
Mercedes Balcells-CampsInstitute of Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Elazer R EdelmanInstitute of Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Brian W AnthonyDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. banthony@mit.edu.ORCID http://orcid.org/0000-0001-6346-5276
Mriganka SurPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA. msur@mit.edu.ORCID http://orcid.org/0000-0003-2442-5671
Peter T C SoDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. ptso@mit.edu.ORCID http://orcid.org/0000-0003-4698-6488

Funding

MicroRNA mechanisms of Rett SyndromeR01MH085802 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SUR, MRIGANKA · 2010 to 2025
$6.2M
Training CoreTL1DK143273 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI Anna Greka · 2024 to 2026
$4.2M
Neuron-astrocyte mechanisms of norepinephrine in goal-directed learningR01MH133066 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MRIGANKA SUR · 2023 to 2026
$2.6M
Astrocyte-Neuron Circuits Underlying Cortical Mechanisms of Learned BehaviorR01NS130361 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MRIGANKA SUR · 2022 to 2026
$2.1M
NIDDK NIH HHS TL1 DK143273NIMH NIH HHS R01 MH085802NIMH NIH HHS R01 MH133066NINDS NIH HHS R01 NS130361U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH085802U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH133066U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01NS130361
6 · The paper itself

Abstract

Label-free detection of biological events at single-cell resolution in the brain can non-invasively capture brain status for medical diagnosis and basic neuroscience research. NADH is an universal coenzyme that not only plays a central role in cellular metabolism but may also be used as a biomarker to capture metabolic processes in brain cells and structures. We have developed a new label-free, multiphoton photoacoustic microscope (LF-MP-PAM) with a near-infrared femtosecond laser to observe endogenous NAD(P)H in living cells. The imaging depth of NAD(P)H in tissues with all-optical methods is limited to ~100 μm in brain tissue by the strong absorption of the near-ultraviolet fluorescence. Here, acoustic detection of the thermal signature of multi-photon (three-photon) excitation of NAD(P)H, a low quantum yield fluorophore, allows detection at an unprecedented depth while the focused excitation ensures high spatial resolution. We validated the photoacoustic detection of NAD(P)H by monitoring an increase in intracellular NAD(P)H in HEK293T cells and HepG2 cells incubated in NADH solution. We also demonstrated the detection of endogenous NAD(P)H photoacoustic signals in brain slices to 700 μm depth and in cerebral organoids to 1100 μm depth. Finally, we developed and demonstrated simultaneous photoacoustic and optical imaging of NAD(P)H in brain cells with a real-time image acquisition and processing pipeline. This approach could open a new door to monitor brain metabolic changes during development and disease, and changes due to neuronal activity, at single-cell level deep in the brains of both humans and animals.

Identifiers

PMID40775235
PMCPMC12331929

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.