Evidence map›Paper›PMID 7529580›Full record

ArticleBiophysical journal1994

Detection of jumps in single-channel data containing subconductance levels.

S Draber, R Schultze

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-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

11 citing papers in PubMed, 20 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

2 authors at 1 institution in 1 country.

S DraberInstitut für Angewandte Physik, Universität Kiel, Germany.
R Schultze
Kiel University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection algorithms are widely used for the analysis of single-channel data because they remove the background noise from the measured current signal and reconstruct the noise-free time series. Standard detection algorithms assume channels switching only between zero and full conductance. Many types of channels, however, show subconductance levels. A new detection algorithm for data containing sublevels, the so-called sublevel Hinkley-detector (SHD), calculates several test values in parallel, one for each possible jump. The velocity of increase has a maximum for the correct jump. This feature is used to detect the jump and to diagnose the new level of current. Because patch-clamp data are always filtered by an antialiasing low-pass filter before sampling, the algorithm is supplemented by a special diagnosis phase accounting for the distortion of the originally rectangular jumps. Along with the reconstructed (noise-free) time series the SHD also gives a matrix of the transition counts between the levels. This matrix is a useful statistical tool for the decision whether the observed channel(s) have in fact a subconductance conformation or if there are simply several channels of different conductivity contained within the patch.

Indexed as

Electric ConductivityAlgorithmsIon Channel GatingIon ChannelsKineticsMathematicsModels, TheoreticalPotassium ChannelsTime FactorsIon ChannelsPotassium Channels

Identifiers

PMID7529580
PMCPMC1225504
OpenAlexW2038022054

What OpenQuestion holds

Textmetadata
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.