Evidence map›Paper›PMID 40220212›Full record

ArticleDocumenta ophthalmologica. Advances in ophthalmology2025

The ERGtools2 package: a toolset for processing and analysing visual electrophysiology data.

Moritz Lindner

Abstract read
In one paragraph

Article in Documenta ophthalmologica. Advances in ophthalmology, 2025. 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. 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

1 author.

Moritz LindnerDepartment of Neurophysiology, Institute of Physiology and Pathophysiology, Philipps-University Marburg, 35037, Marburg, Germany. Moritz@LindnerLab.de.ORCID 0000-0002-4416-3421

Funding

Deutsche Forschungsgemeinschaft LI 2846/5-1Deutsche Forschungsgemeinschaft LI 2846/6-1
6 · The paper itself

Abstract

purposeTo introduce ERGtools2, an open-source R package for processing, analysing and long-term storing visual electrophysiology data.

methodsA dataset comprising Electroretinogram (ERG) recordings of C57Bl/6J mice, subjected to standard ISCEV stimuli, was used to present the functionality of ERGtools2. ERGtools2 stores and organizes all recordings, metadata, and measurement information from an individual examination in a single object, maintaining raw data throughout the analysis process.

resultsA standard workflow is presented exemplifying how ERGtools2 can be used to efficiently import, pre-process and analyse ERG data. Following this workflow, basic ERG measurements and visualisation of a single exam as well as group statistics are obtained. Moreover, special use cases are described, including for the handling of noisy data and the storage of data in the HDF5 format to ensure long-term preservation and accessibility.

conclusionsERGtools2 provides a comprehensive, flexible, and device-independent solution for visual electrophysiology data analysis. Its emphasis on maintaining raw data integrity, combined with advanced processing and analysis capabilities, makes it a useful tool for preclinical and clinical research applications. The open-source nature and the use of open data formats promote reproducibility and data sharing in visual neurosciences.

Indexed as

ElectroretinographyRetinaSoftwareAnimalsMiceMice, Inbred C57BLData analysisData preservationOpen sourceR packageVisual electrophysiology

Identifiers

PMID40220212
PMCPMC12137496

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LicenceCC BY
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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.