Evidence map›Paper›PMID 37478145›Full record

ArticlePloS one2023

Accelerated high-throughput imaging and phenotyping system for small organisms.

Talha Kose, Tiago F Lins, Jessie Wang, Anna M O'Brien, David Sinton, Megan E Frederickson

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Talha KoseDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
Tiago F LinsDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
Jessie WangDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada.
Anna M O'BrienDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
David SintonDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
Megan E FredericksonDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying the complex web of interactions in biological communities requires large multifactorial experiments with sufficient statistical power. Automation tools reduce the time and labor associated with setup, data collection, and analysis in experiments that untangle these webs. We developed tools for high-throughput experimentation (HTE) in duckweeds, small aquatic plants that are amenable to autonomous experimental preparation and image-based phenotyping. We showcase the abilities of our HTE system in a study with 6,000 experimental units grown across 2,000 treatments. These automated tools facilitated the collection and analysis of time-resolved growth data, which revealed finer dynamics of plant-microbe interactions across environmental gradients. Altogether, our HTE system can run experiments with up to 11,520 experimental units and can be adapted for other small organisms.

Indexed as

Diagnostic ImagingPlants

Identifiers

PMID37478145
PMCPMC10361482

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.