Evidence map›Paper›PMID 33587611›Full record

ArticleACS sensors2021

High-Speed Lens-Free Holographic Sensing of Protein Molecules Using Quantitative Agglutination Assays.

Zhen Xiong, Colin J Potter, Euan McLeod

Abstract read
In one paragraph

Article in ACS sensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

3 authors.

Zhen XiongWyant College of Optical Sciences, University of Arizona, 1630 East University Boulevard, Tucson, Arizona 85719, United States.ORCID 0000-0001-6685-9676
Colin J PotterWyant College of Optical Sciences, University of Arizona, 1630 East University Boulevard, Tucson, Arizona 85719, United States.ORCID 0000-0003-3124-852X
Euan McLeodWyant College of Optical Sciences, University of Arizona, 1630 East University Boulevard, Tucson, Arizona 85719, United States.ORCID 0000-0002-6327-3642

Funding

Translational research in Alzheimer’s Disease and Related Dementias (TRADD)T32AG061897 · NIA · UNIVERSITY OF ARIZONA · PI BRINTON, ROBERTA EILEEN · 2018 to 2022
$1.3M
NIA NIH HHS T32 AG061897
6 · The paper itself

Abstract

Accurate, cost-effective, easy-to-use, and point-of-care sensors for protein biomarker levels are important for disease diagnostics. A cost-effective and compact readout approach that has been used for several diagnostic applications is lens-free holographic microscopy, which provides an ultralarge field of view and submicron resolution when it is coupled with pixel super-resolution techniques. Despite its potential as a diagnostic technique, lens-free microscopy has not previously been applied to quantitative protein molecule sensing in solution, which can simplify sensing protocols and ultimately enable measurements of binding kinetics in physiological conditions. Here, we sense interferon-γ (an immune system biomarker) and NeutrAvidin molecules in solution by combining lens-free microscopy with a one-step bead-based agglutination assay, enabled by a custom high-speed light-emitting diode (LED) array and automated image processing routines. We call this a quantitative large-area binding (QLAB) sensor. The high-speed light source provides, for the first time, pixel super-resolved imaging of >10

Indexed as

HolographyAgglutinationAgglutination TestsAnimalsImage Processing, Computer-AssistedMiceMicroscopyagglutination assayBrownian motionhigh-speed super-resolutionlens-free holographic microscopypoint-of-careprotein biomarkers

Identifiers

PMID33587611
PMCPMC8259606

What OpenQuestion holds

Textmetadata
LicenceTDM
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.