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Classifying T cell activity in autofluorescence intensity images with convolutional neural networks.

Wang ZJ, Walsh AJ, Skala MC, Gitter A. · Journal of biophotonics · 2020 · Journal publication

Original publication · Original publication · Original publication

Recorded summary

Reference associated with Systems Biology Framework for Fractal Autofluorescence.

Recorded limitations

Bibliographic metadata matched; scientific claims await appraisal.

Evidence and provenance

Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.

Study design and assessment
design
Journal publication
assessment
Not recorded
trust Factor
scope
Paper
status
unassessed
score
Not recorded
basis
Bibliographic identity checks do not establish study design, blinding or evidential strength.
jadad
status
unassessed
score
Not recorded
evidence
Not recorded
Topics and recorded topic scores
  1. key
    general:autofluorescence-sensing
    title
    Autofluorescence and Molecular Sensing
    collection
    general
    trust Score
    Not recorded
Citation snapshot and identifiers
id
hsi-a7e89452d57b51
doi
10.1002/jbio.201960050
pmid
31661592
citation Snapshot
Not recorded
citations By Collection
general
Not recorded
Complete approved library record
id
hsi-a7e89452d57b51
aliases
None recorded
source References
  1. ref
    NPL-181
    record Id
    hsi-a7e89452d57b51
    source Type
    Journal publication
    title
    Classifying T cell activity in autofluorescence intensity images with convolutional neural networks.
    authors
    Wang ZJ, Walsh AJ, Skala MC, Gitter A.
    year
    2020
    journal
    Journal of biophotonics
    doi
    10.1002/jbio.201960050
    pmid
    31661592
    pmcid
    PMC7065628
    patent Number
    Not recorded
    original Assignee
    Not recorded
    original Citation
    Wang ZJ, Walsh AJ, Skala MC, Gitter A (2020). "Classifying T cell activity in autofluorescence intensity images with convolutional neural networks." Journal of Biophotonics 13(3):e201960050 (PMC 7065628) — CNN classification of T cell activation states from NAD(P)H autofluorescence intensity images; endogenous metabolic co-enzyme fluorescence reflects immune cell functional state; label-free optical metabolic imaging distinguishes quiescent from activated T cells
    original Section
    Systems Biology Framework for Fractal Autofluorescence
    metadata Status
    metadata-matched
    claim Review
    Not independently appraised
    source URL
    https://www.notion.so/3807b9c99c5680599be7d8337c817b15
    publication URL
    https://pubmed.ncbi.nlm.nih.gov/31661592/
    metadata URL
    https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=PMCID%3APMC7065628&format=json&resultType=core&pageSize=4
    corrections
    None recorded
    topic Id
    autofluorescence-sensing
    role
    Focused chapter source
source Type
Journal publication
source Verification
Bibliographic metadata matched; scientific claims await appraisal.
source Collection
Hyperspectral Imaging · patent section 2.4
title
Classifying T cell activity in autofluorescence intensity images with convolutional neural networks.
journal
Journal of biophotonics
neurotransmitters
None recorded
year
2020
authors
Wang ZJ, Walsh AJ, Skala MC, Gitter A.
design
Journal publication
kind
Journal publication
identity Conflict
Not recorded
doi
10.1002/jbio.201960050
pmid
31661592
urls

https://pubmed.ncbi.nlm.nih.gov/31661592/ · https://doi.org/10.1002/jbio.201960050 · https://pmc.ncbi.nlm.nih.gov/articles/PMC7065628/

collections

general

categories

Hyperspectral Imaging

targets
None recorded
priority
1
quotes
None recorded
summary
Reference associated with Systems Biology Framework for Fractal Autofluorescence.
limitation
Bibliographic metadata matched; scientific claims await appraisal.
citation Count
Not recorded
paper Trust Assessment
scope
Paper
status
unassessed
score
Not recorded
basis
Bibliographic identity checks do not establish study design, blinding or evidential strength.
citations By Collection
general
Not recorded
topics
  1. key
    general:autofluorescence-sensing
    title
    Autofluorescence and Molecular Sensing
    collection
    general
    trust Score
    Not recorded
journal Key
journalofbiophotonics
journal Label
Journal of biophotonics
chapter Entries
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    general-autofluorescence-sensing-hsi-a7e89452d57b51
    record Id
    hsi-a7e89452d57b51
    title
    Classifying T cell activity in autofluorescence intensity images with convolutional neural networks.
    journal
    Journal of biophotonics
    year
    2020
    authors
    Wang ZJ, Walsh AJ, Skala MC, Gitter A.
    design
    Journal publication
    urls

    https://pubmed.ncbi.nlm.nih.gov/31661592/ · https://doi.org/10.1002/jbio.201960050 · https://pmc.ncbi.nlm.nih.gov/articles/PMC7065628/

    quotes
    None recorded
    summary
    Reference associated with Systems Biology Framework for Fractal Autofluorescence.
    related Versions
    None recorded
    limitation
    Bibliographic metadata matched; scientific claims await appraisal.
    citation Count
    Not recorded
    source Pages
    None recorded
    doi
    10.1002/jbio.201960050
    pmid
    31661592
    targets
    None recorded
    categories

    Hyperspectral Imaging

    source References
    1. ref
      NPL-181
      record Id
      hsi-a7e89452d57b51
      source Type
      Journal publication
      title
      Classifying T cell activity in autofluorescence intensity images with convolutional neural networks.
      authors
      Wang ZJ, Walsh AJ, Skala MC, Gitter A.
      year
      2020
      journal
      Journal of biophotonics
      doi
      10.1002/jbio.201960050
      pmid
      31661592
      pmcid
      PMC7065628
      patent Number
      Not recorded
      original Assignee
      Not recorded
      original Citation
      Wang ZJ, Walsh AJ, Skala MC, Gitter A (2020). "Classifying T cell activity in autofluorescence intensity images with convolutional neural networks." Journal of Biophotonics 13(3):e201960050 (PMC 7065628) — CNN classification of T cell activation states from NAD(P)H autofluorescence intensity images; endogenous metabolic co-enzyme fluorescence reflects immune cell functional state; label-free optical metabolic imaging distinguishes quiescent from activated T cells
      original Section
      Systems Biology Framework for Fractal Autofluorescence
      metadata Status
      metadata-matched
      claim Review
      Not independently appraised
      source URL
      https://www.notion.so/3807b9c99c5680599be7d8337c817b15
      publication URL
      https://pubmed.ncbi.nlm.nih.gov/31661592/
      metadata URL
      https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=PMCID%3APMC7065628&format=json&resultType=core&pageSize=4
      corrections
      None recorded
      topic Id
      autofluorescence-sensing
      role
      Focused chapter source
    source Type
    Journal publication
    source Verification
    Bibliographic metadata matched; scientific claims await appraisal.
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    general
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    11
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    autofluorescence-sensing
    topic Title
    Autofluorescence and Molecular Sensing
    trust Score
    Not recorded
    paper Trust Assessment
    scope
    Paper
    status
    unassessed
    score
    Not recorded
    basis
    Bibliographic identity checks do not establish study design, blinding or evidential strength.
jadad
status
unassessed
score
Not recorded
condition Evidence
None recorded
conditions
None recorded
topic Trust Scores
None recorded
full Text
status
not-indexed
retrieval Available
false

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