Evidence map›Paper›PMID 34882088›Full record

ArticleeLife2021

ZAF, the first open source fully automated feeder for aquatic facilities.

Merlin Lange, AhmetCan Solak, Shruthi Vijay Kumar, Hirofumi Kobayashi, Bin Yang, Loïc Alain Royer

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Merlin LangeChan Zuckerberg Biohub, San Francisco, United States.ORCID 0000-0003-0534-4374
AhmetCan SolakChan Zuckerberg Biohub, San Francisco, United States.
Shruthi Vijay KumarChan Zuckerberg Biohub, San Francisco, United States.
Hirofumi KobayashiChan Zuckerberg Biohub, San Francisco, United States.
Bin YangChan Zuckerberg Biohub, San Francisco, United States.
Loïc Alain RoyerChan Zuckerberg Biohub, San Francisco, United States.ORCID 0000-0002-9991-9724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past few decades, aquatic animals have become popular model organisms in biology, spurring a growing need for establishing aquatic facilities. Zebrafish are widely studied and relatively easy to culture using commercial systems. However, a challenging aspect of maintaining aquatic facilities is animal feeding, which is both time- and resource-consuming. We have developed an open-source fully automatic daily feeding system, Zebrafish Automatic Feeder (ZAF). ZAF is reliable, provides a standardized amount of food to every tank, is cost-efficient and easy to build. The advanced version, ZAF+, allows for the precise control of food distribution as a function of fish density per tank, and has a user-friendly interface. Both ZAF and ZAF+ are adaptable to any laboratory environment and facilitate the implementation of aquatic colonies. Here, we provide all blueprints and instructions for building the mechanics, electronics, fluidics, as well as to setup the control software and its user-friendly graphical interface. Importantly, the design is modular and can be scaled to meet different user needs. Furthermore, our results show that ZAF and ZAF+ do not adversely affect zebrafish culture, enabling fully automatic feeding for any aquatic facility.

Indexed as

SoftwareAnimal FeedAnimalsAquacultureAutomationData CollectionFeeding BehaviorZebrafishaquaticautomaticdevelopmental biologyfeederopen-sourcezafzebrafish

Identifiers

PMID34882088
PMCPMC8776251

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.