Evidence map›Paper›PMID 39634252›Full record

ArticleHardwareX2024

LabEmbryoCam: An opensource phenotyping system for developing aquatic animals.

Ziad Ibbini, Maria Bruning, Sakina Allili, Luke A Holmes, Ellen Tully, Jamie McCoy, Benjamin Larsen, Tony Wilson, Guy Ludford, Jack Barrett-Kelly and 2 more

Abstract read
In one paragraph

Article in HardwareX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Ziad IbbiniUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.
Maria BruningUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.
Sakina AlliliUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.
Luke A HolmesUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.
Ellen TullyUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.
Jamie McCoyUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.
Benjamin LarsenAdvanced Digital Manufacturing and Innovation Centre, Plymouth Science Park, 1 Davy Road, Plymouth, PL6 8BX, England.
Tony WilsonUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.
Guy LudfordUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.
Jack Barrett-KellyUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.
John I SpicerUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.
Oliver TillsUniversity of Plymouth, School of Biological and Marine Sciences, Drake Circus, Plymouth, PL4 8AA, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenomics is the acquisition of high-dimensional data on an individual-wide scale and is proving transformational in areas of biological research related to human health including medicine and the crop sciences. However, more broadly, a lack of accessible transferrable technologies and research approaches is significantly hindering the uptake of phenomics, in contrast to molecular-omics for which transferrable technologies have been a significant enabler. Aquatic embryos are natural models for phenomics, due to their small size, taxonomic diversity, ecological relevance, and high levels of temporal, spatial and functional change. Here, we present LabEmbryoCam, an autonomous phenotyping platform for timelapse imaging of developing aquatic embryos cultured in a multiwell plate format, and while optimised for embryos, the instrument is extremely versatile. The LabEmbryoCam capitalises on 3D printing, single board computers, consumer electronics and stepper motor enabled motion. We combine these into a compact and modular laboratory insturment to provide X, Y and Z motion of a camera and lens, a web application streamlined for rapid setup of experiments, user email notifications and a humidification chamber to reduce evaporation over prolonged acquisitions. Downstream analyses are provided, enabling automated embryo segmentation, heartrate measurement, motion tracking, and energy proxy trait (EPT) measurement. The LabEmbryoCam is a scalable, and flexible laboratory instrument, that leverages embryonic and early life stage organisms to tackle key global challenges including biological sensitivity assessment, toxicological screening, but also to support broader engagement with the earliest stages of life.

Indexed as

Computer visionEmbryosHigh-dimensional-organismal-phenotypingPhenomicsTimelapse

Identifiers

PMID39634252
PMCPMC11616599

What OpenQuestion holds

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Registered trials

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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.