Evidence map›Paper›PMID 20461132›Full record

ArticleCellular and molecular bioengineering2010

Model Convolution: A Computational Approach to Digital Image Interpretation.

Melissa K Gardner, Brian L Sprague, Chad G Pearson, Benjamin D Cosgrove, Andrew D Bicek, Kerry Bloom, E D Salmon, David J Odde

Abstract read
In one paragraph

Article in Cellular and molecular bioengineering, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  18. Intellectual immigration.Current biology : CB · 2013
    Article
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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.

Melissa K Gardner
Brian L Sprague
Chad G Pearson
Benjamin D Cosgrove
Andrew D Bicek
Kerry Bloom
E D Salmon
David J Odde

Funding

Structure and Function of a Eukaryotic CentromereR01GM032238 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BLOOM, KERRY S · 1985 to 2025
$6.2M
Modeling Microtubule Dynamics in MitosisR01GM071522 · NIGMS · UNIVERSITY OF MINNESOTA · PI ODDE, DAVID J. · 2006 to 2013
$2.7M
NIGMS NIH HHS R01 GM032238NIGMS NIH HHS R01 GM071522
6 · The paper itself

Abstract

Digital fluorescence microscopy is commonly used to track individual proteins and their dynamics in living cells. However, extracting molecule-specific information from fluorescence images is often limited by the noise and blur intrinsic to the cell and the imaging system. Here we discuss a method called "model-convolution," which uses experimentally measured noise and blur to simulate the process of imaging fluorescent proteins whose spatial distribution cannot be resolved. We then compare model-convolution to the more standard approach of experimental deconvolution. In some circumstances, standard experimental deconvolution approaches fail to yield the correct underlying fluorophore distribution. In these situations, model-convolution removes the uncertainty associated with deconvolution and therefore allows direct statistical comparison of experimental and theoretical data. Thus, if there are structural constraints on molecular organization, the model-convolution method better utilizes information gathered via fluorescence microscopy, and naturally integrates experiment and theory.

Identifiers

PMID20461132
PMCPMC2864900

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.