Evidence map›Paper›PMID 40526870›Full record

ArticleACS nano2025

Characterization of a Single-Molecule Sensitive Digital Flow Cytometer for Amplification-Free Digital Assays.

Yuanhua Cheng, Alya Nguyen, Wyatt Nelson, Bryant S Fujimoto, Mengxia Zhao, Daniel T Chiu

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Ultrasensitive Enzyme-Free Detection of Proteins on Magnetic Beads.Journal of the American Chemical Society · 2026
    Article
  2. Article
  3. 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.

Yuanhua ChengDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
Alya NguyenDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
Wyatt NelsonDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
Bryant S FujimotoDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
Mengxia ZhaoDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0009-0005-1670-4023
Daniel T ChiuDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-2964-9578

Funding

Predicting neonatal health outcomes from placental and fetal brain extracellular vesicles in pregnant opioid usersR01HD113032 · NICHD · UNIVERSITY OF WASHINGTON · PI Daniel T Chiu, Lucia N Vojtech · 2023 to 2026
$3.0M
Assessment of fetal brain health via circulating exRNA carriers for opioid use disorder in pregnancyR01DA057748 · NIDA · UNIVERSITY OF WASHINGTON · PI Daniel T Chiu, Lucia N Vojtech · 2023 to 2026
$2.8M
NICHD NIH HHS R01 HD113032NIDA NIH HHS R01 DA057748
6 · The paper itself

Abstract

Digital assays such as digital PCR for nucleic acids and digital ELISA for proteins provide absolute quantitation and greater accuracy, sensitivity, and reproducibility than their analogue counterparts (real-time PCR and standard ELISA), but current digital assays involve amplification (e.g., DNA amplification in digital PCR and signal amplification in digital ELISA), which makes high multiplexing difficult, often requires complex and expensive sample compartmentalization, and adds reaction steps. We have developed a single-molecule sensitive flow cytometer, which we termed a digital flow cytometer (dFC). dFC optimizes the sensitivity and efficiency of single-molecule detection by using smaller, planar microfluidic channels, a smaller probe volume, and a shorter working distance/higher numerical aperture objective than used in current commercial high-sensitivity flow cytometers, allowing digital assays via direct single-molecule counting. This paper describes our characterization of the analytical performance of this system when detecting antibody-dye conjugates and demonstrates absolute concentration measurements of commercial antibody-dye conjugates. The dFC exhibited a single-molecule detection efficiency with which over 98% for antibodies conjugated with 18 different small-molecule, phycobiliprotein, and semiconducting polymer dyes were separated from noise, a low false-positive rate, a stable baseline signal, and accurate concentration measurements with a dynamic range spanning 4 orders of magnitude. This system can be used for authenticating antibody-dye conjugates used in flow cytometry and tissue imaging studies and in the development of multiplexed, amplification-free digital assays for nucleic acids and proteins.

Indexed as

Flow Cytometryabsolute quantitationantibody QC/QAdigital assaydigital flow cytometer (dFC)single-molecule counting

Identifiers

PMID40526870
PMCPMC12335221

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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.