Evidence map›Paper›PMID 29888136›Full record

ArticlePeerJ2018

An inexpensive, customizable microscopy system for the automated quantification and characterization of multiple adherent cell types.

Vishwaratn Asthana, Yuqi Tang, Adam Ferguson, Pallavi Bugga, Anantratn Asthana, Emily R Evans, Allen L Chen, Brett S Stern, Rebekah A Drezek

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 17% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 1 country.

Vishwaratn AsthanaDepartment of Bioengineering, Rice University, Houston, TX, USA.
Yuqi TangDepartment of Bioengineering, Rice University, Houston, TX, USA.
Adam FergusonDepartment of Bioengineering, Rice University, Houston, TX, USA.
Pallavi BuggaDepartment of Bioengineering, Rice University, Houston, TX, USA.
Anantratn AsthanaDepartment of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA, USA.
Emily R EvansDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0001-8738-5094
Allen L ChenDepartment of Bioengineering, Rice University, Houston, TX, USA.
Brett S SternDepartment of Bioengineering, Rice University, Houston, TX, USA.
Rebekah A DrezekDepartment of Bioengineering, Rice University, Houston, TX, USA.
Rice University · USUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell quantification assays are essential components of most biological and clinical labs. However, many currently available quantification assays, including flow cytometry and commercial cell counting systems, suffer from unique drawbacks that limit their overall efficacy. In order to address the shortcomings of traditional quantification assays, we have designed a robust, low-cost, automated microscopy-based cytometer that quantifies individual cells in a multiwell plate using tools readily available in most labs. Plating and subsequent quantification of various dilution series using the automated microscopy-based cytometer demonstrates the single-cell sensitivity, near-perfect

Indexed as

Cell quantificationCo-cultureFluorescent microscopyOptical cytometry

Identifiers

PMID29888136
PMCPMC5993021
OpenAlexW2807221984

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.