Evidence map›Paper›PMID 38943226›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2024

Autofluorescence lifetime flow cytometry with time-correlated single photon counting.

Kayvan Samimi, Ojaswi Pasachhe, Emmanuel Contreras Guzman, Jeremiah Riendeau, Amani A Gillette, Dan L Pham, Kasia J Wiech, Darcie L Moore, Melissa C Skala

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Kayvan SamimiMorgridge Institute for Research, Madison, Wisconsin, USA.ORCID 0000-0002-2566-612X
Ojaswi PasachheMorgridge Institute for Research, Madison, Wisconsin, USA.
Emmanuel Contreras GuzmanMorgridge Institute for Research, Madison, Wisconsin, USA.
Jeremiah RiendeauMorgridge Institute for Research, Madison, Wisconsin, USA.
Amani A GilletteMorgridge Institute for Research, Madison, Wisconsin, USA.
Dan L PhamDepartment of Biomedical Engineering, University of Wisconsin, Madison, Wisconsin, USA.
Kasia J WiechDepartment of Biomedical Engineering, University of Wisconsin, Madison, Wisconsin, USA.
Darcie L MooreDepartment of Neuroscience, University of Wisconsin, Madison, Wisconsin, USA.
Melissa C SkalaMorgridge Institute for Research, Madison, Wisconsin, USA.ORCID 0000-0002-6320-7637

Funding

The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
Label-free imaging of CAR T cell metabolismR01CA278051 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Christian Capitini, Krishanu Saha · 2023 to 2026
$2.6M
Label-free single-cell imaging for quality control of cardiomyocyte biomanufacturingR01HL165726 · NHLBI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Sean P Palecek, Melissa Caroline Skala · 2023 to 2026
$2.5M
Label-free, live-cell classification of neural stem cell activation state and dynamicsR56NS130450 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI MOORE, DARCIE LEANN · 2023 to 2023
$568k
NCI NIH HHS R01 CA278051NHLBI NIH HHS R01 HL165726NIBIB NIH HHS P41 EB031772NIH HHS R01CA278051NIH HHS R56NS130450NINDS NIH HHS R56 NS130450
6 · The paper itself

Abstract

Autofluorescence lifetime imaging microscopy (FLIM) is sensitive to metabolic changes in single cells based on changes in the protein-binding activities of the metabolic co-enzymes NAD(P)H. However, FLIM typically relies on time-correlated single-photon counting (TCSPC) detection electronics on laser-scanning microscopes, which are expensive, low-throughput, and require substantial post-processing time for cell segmentation and analysis. Here, we present a fluorescence lifetime-sensitive flow cytometer that offers the same TCSPC temporal resolution in a flow geometry, with low-cost single-photon excitation sources, a throughput of tens of cells per second, and real-time single-cell analysis. The system uses a 375 nm picosecond-pulsed diode laser operating at 50 MHz, alkali photomultiplier tubes, an FPGA-based time tagger, and can provide real-time phasor-based classification (i.e., gating) of flowing cells. A CMOS camera produces simultaneous brightfield images using far-red illumination. A second PMT provides two-color analysis. Cells are injected into the microfluidic channel using a syringe pump at 2-5 mm/s with nearly 5 ms integration time per cell, resulting in a light dose of 2.65 J/cm

Indexed as

Flow CytometryPhotonsAnimalsFluorescenceHumansJurkat CellsMiceOptical ImagingSingle-Cell Analysisflow cytometryfluorescence lifetimelabel‐free sensingmetabolismNAD(P)Hsingle‐cell analysistime tagger

Identifiers

PMID38943226
PMCPMC11425855

What OpenQuestion holds

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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.