Evidence map›Paper›PMID 26528115›Full record

ArticleFrontiers in neuroscience2015

A method for electrophysiological characterization of hamster retinal ganglion cells using a high-density CMOS microelectrode array.

Ian L Jones, Thomas L Russell, Karl Farrow, Michele Fiscella, Felix Franke, Jan Müller, David Jäckel, Andreas Hierlemann

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 24% of its field
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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Ian L JonesBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich Basel, Switzerland.
Thomas L RussellBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich Basel, Switzerland.
Karl FarrowVisual Circuits Laboratory, Neuroelectronics Research Flanders Leuven, Belgium ; NERF, Imec Leuven, Belgium ; Department of Biology, KU Leuven Leuven, Belgium.
Michele FiscellaBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich Basel, Switzerland.
Felix FrankeBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich Basel, Switzerland.
Jan MüllerBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich Basel, Switzerland.
David JäckelBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich Basel, Switzerland.
Andreas HierlemannBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich Basel, Switzerland.
ETH Zurich · CHNeuroelectronics Research Flanders · BE

Funding

European Research Council 267351Swiss National Science Foundation 141801
6 · The paper itself

Abstract

Knowledge of neuronal cell types in the mammalian retina is important for the understanding of human retinal disease and the advancement of sight-restoring technology, such as retinal prosthetic devices. A somewhat less utilized animal model for retinal research is the hamster, which has a visual system that is characterized by an area centralis and a wide visual field with a broad binocular component. The hamster retina is optimally suited for recording on the microelectrode array (MEA), because it intrinsically lies flat on the MEA surface and yields robust, large-amplitude signals. However, information in the literature about hamster retinal ganglion cell functional types is scarce. The goal of our work is to develop a method featuring a high-density (HD) complementary metal-oxide-semiconductor (CMOS) MEA technology along with a sequence of standardized visual stimuli in order to categorize ganglion cells in isolated Syrian Hamster (Mesocricetus auratus) retina. Since the HD-MEA is capable of recording at a higher spatial resolution than most MEA systems (17.5 μm electrode pitch), we were able to record from a large proportion of RGCs within a selected region. Secondly, we chose our stimuli so that they could be run during the experiment without intervention or computation steps. The visual stimulus set was designed to activate the receptive fields of most ganglion cells in parallel and to incorporate various visual features to which different cell types respond uniquely. Based on the ganglion cell responses, basic cell properties were determined: direction selectivity, speed tuning, width tuning, transience, and latency. These properties were clustered to identify ganglion cell types in the hamster retina. Ultimately, we recorded up to a cell density of 2780 cells/mm(2) at 2 mm (42°) from the optic nerve head. Using five parameters extracted from the responses to visual stimuli, we obtained seven ganglion cell types.

Indexed as

cell classificationCMOSMEAretinaretinal ganglion cellsRGCsensory encodingvisual stimulation

Identifiers

PMID26528115
PMCPMC4602149
OpenAlexW1907563648

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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.