Evidence map›Paper›PMID 38842026›Full record

ReviewAnalytical chemistry2024

A Guide to Biodetection in Droplets.

Simona Bartkova, Marta Zapotoczna, Immanuel Sanka, Ott Scheler

Abstract readReview
In one paragraph

Review in Analytical chemistry, 2024. 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
–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

2 citing papers in PubMed.

  1. Review
  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

4 authors.

Simona BartkovaDepartment of Chemistry and Biotechnology, Tallinn University of Technology (TalTech), Akadeemia tee 15, Tallinn 12618, Estonia.ORCID 0000-0001-9567-104X
Marta ZapotocznaFaculty of Biology, Biological and Chemical Research Centre, University of Warsaw, Żwirki i Wigury 101, 02-089 Warsaw, Poland.
Immanuel SankaDepartment of Chemistry and Biotechnology, Tallinn University of Technology (TalTech), Akadeemia tee 15, Tallinn 12618, Estonia.
Ott SchelerDepartment of Chemistry and Biotechnology, Tallinn University of Technology (TalTech), Akadeemia tee 15, Tallinn 12618, Estonia.ORCID 0000-0002-8428-1350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Droplet-based methods for optical biodetection enable unprecedented high-throughput experimental parameters. The methods, however, remain underused due to the accompanying multidisciplinary and complicated experimental workflows. Here, we provide a tutorial for droplet-based optical biodetection workflows with a focus on the key aspect of label selection. By discussing and guiding readers through recent state-of-the-art studies, we aim to make droplet-based approaches more accessible to the general scientific public.

Indexed as

High-Throughput Screening Assays

Identifiers

PMID38842026
PMCPMC11190884

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.