Cited by 5Advanced Fluorescence Microscopy TechniquesOptical Imaging and Spectroscopy TechniquesNeuroscience and Neuropharmacology Research

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Correcting for the hemoglobin absorption artifact in fiber photometry data

Open access
Zhang, Run, Kim, Christina K.·2022·Cell Reports Methods

Abstract

Fiber photometry is a widely used fluorescence approach for measuring neuronal activity in freely behaving animals; however, these signals can be contaminated by hemoglobin absorption artifacts. Zhang et al. propose a computational method to quantify and correct hemoglobin photon absorption effects using spectral fiber photometry, resulting in more accurate neuronal activity measurements.

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Crossref · 10.1016/j.crmeth.2022.100257

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  • Changes in hemoglobin content and pH around the fiber optic cannula can induce artefacts in the fluorescent signal.

    “Changes in hemoglobin content and pH around the fiber optic cannula can induce artefacts in the fluorescent signal56.”

    From Norepinephrine-mediated slow vasomotion drives glymphatic clearance during sleep (2025) · cites this paper as [56]

    The Main text (page not provided) says changes in hemoglobin concentration can distort fiber-photometry fluorescence signals. It does not address pH changes around the optical fiber or their effect on the signal, so that part of the claim is unsupported. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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Citations

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Flagged first, then by citations

Research works printed but not linked: 7

  1. Adelsberger, 2005, Cortical calcium waves in resting newborn mice, Nat. Neurosci., 8, 988, 10.1038/nn1502 · DOI
  2. Chen, 2013, Ultrasensitive fluorescent proteins for imaging neuronal activity, Nature, 499, 295, 10.1038/nature12354 · DOI · Paper page
  3. Gunaydin, 2014, Natural neural projection dynamics underlying social behavior, Cell, 157, 1535, 10.1016/j.cell.2014.05.017 · DOI · Paper page
  4. Meng, 2018, Spectrally resolved fiber photometry for multi-component analysis of brain circuits, Neuron, 98, 707, 10.1016/j.neuron.2018.04.012 · DOI
  5. Sherathiya, 2021, GuPPy, a Python toolbox for the analysis of fiber photometry data, Sci. Rep., 11, 24212, 10.1038/s41598-021-03626-9 · DOI
  6. Valley, 2020, Separation of hemodynamic signals from GCaMP fluorescence measured with wide-field imaging, Journal of Neurophysiology, 123, 356, 10.1152/jn.00304.2019 · DOI
  7. Zhang, 2022, Spectral fiber-photometry derives hemoglobin-absorption changes for accurate measurement of fluorescent sensor activity, Cell Reports Methods, 2, 10.1016/j.crmeth.2022.100243 · DOI

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Metadata

Authors
Zhang, R., & Kim, C. K.
Affiliations
University of California, Davis (US)
Corresponding author
Kim, Christina K.
Venue
Cell Reports Methods
Publisher
Elsevier BV
Published
2022-07
Volume
2
Issue
7
Pages
100257
ISSN
2667-2375 (ISSN-L)
OpenAlex
W4285808507
Cited by
5
References
2
Citations by year
2026: 2 · 2025: 1 · 2024: 2
FWCI
0.31
Type
journal article
Language
en
Open access
Locations
  • Cell Reports Methods (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
Burroughs Wellcome Fund
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
fiber photometry, signal correction, freely moving animals
MeSH terms
Animals, Neurons, Photometry, Artifacts

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