Evidence map›Paper›PMID 35726129›Full record

ArticleJournal of biomedical optics2022

Signal and measurement considerations for human translation of diffuse in vivo flow cytometry.

Fernando Ivich, Joshua Pace, Amber L Williams, Malcolm Shumel, Qianqian Fang, Mark Niedre

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Two-color diffuseJournal of biomedical optics · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Near-infrared diffuse in vivo flow cytometry.Journal of biomedical optics · 2022
    Article
  12. Prospects for Fluorescence MolecularFrontiers in photonics · 2022
    Article
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

6 authors.

Fernando IvichNortheastern University, Department of Bioengineering, Boston, Massachusetts, United States.
Joshua PaceNortheastern University, Department of Bioengineering, Boston, Massachusetts, United States.
Amber L WilliamsNortheastern University, Department of Bioengineering, Boston, Massachusetts, United States.
Malcolm ShumelNortheastern University, Department of Bioengineering, Boston, Massachusetts, United States.
Qianqian FangNortheastern University, Department of Bioengineering, Boston, Massachusetts, United States.
Mark NiedreNortheastern University, Department of Bioengineering, Boston, Massachusetts, United States.

Funding

Next-generation Monte Carlo eXtreme Light Transport Simulation PlatformR01GM114365 · NIGMS · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2015 to 2023
$2.9M
Circulating Red Blood Cell Based Nanosensors for Continuous, Real-Time Drug MonitoringR01EB024186 · NIBIB · NORTHEASTERN UNIVERSITY · PI CLARK, HEATHER A, NIEDRE, MARK JONATHAN · 2018 to 2021
$1.6M
Next-generation optical brain functional imaging platformR01EB026998 · NIBIB · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2018 to 2019
$870k
Fluorescence Molecular In Vivo Liquid Biopsy of Circulating Tumor CellsR21CA246413 · NCI · NORTHEASTERN UNIVERSITY · PI NIEDRE, MARK JONATHAN · 2021 to 2022
$389k
NCI NIH HHS R21 CA246413NIBIB NIH HHS R01 EB024186NIBIB NIH HHS R01 EB026998NIGMS NIH HHS R01 GM114365
6 · The paper itself

Abstract

significance"Diffuse in vivo flow cytometry" (DiFC) is an emerging technology for fluorescence detection of rare circulating cells directly in large deep-seated blood vessels in mice. Because DiFC uses highly scattered light, in principle, it could be translated to human use. However, an open question is whether fluorescent signals from single cells would be detectable in human-scale anatomies.

aimSuitable blood vessels in a human wrist or forearm are at a depth of ∼2 to 4 mm. The aim of this work was to study the impact of DiFC instrument geometry and wavelength on the detected DiFC signal and on the maximum depth of detection of a moving cell. APPROACH: We used Monte Carlo simulations to compute fluorescence Jacobian (sensitivity) matrices for a range of source and detector separations (SDS) and tissue optical properties over the visible and near infrared spectrum. We performed experimental measurements with three available versions of DiFC (488, 640, and 780 nm), fluorescent microspheres, and tissue mimicking optical flow phantoms. We used both computational and experimental data to estimate the maximum depth of detection at each combination of settings.

resultsFor the DiFC detection problem, our analysis showed that for deep-seated blood vessels, the maximum sensitivity was obtained with NIR light (780 nm) and 3-mm SDS.

conclusionsThese results suggest that-in combination with a suitable molecularly targeted fluorescent probes-circulating cells and nanosensors could, in principle, be detectable in circulation in humans.

Indexed as

Fluorescent DyesAnimalsFlow CytometryHumansMiceMicrospheresMonte Carlo MethodPhantoms, ImagingFluorescent Dyesdiffuse fluorescencediffuse in vivo flow cytometryMonte Carlo simulationsoptical devices

Identifiers

PMID35726129
PMCPMC9207655

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.