Evidence map›Paper›PMID 26113764›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2015

An information-theoretic approach to designing the plane spacing for multifocal plane microscopy.

Amir Tahmasbi, Sripad Ram, Jerry Chao, Anish V Abraham, E Sally Ward, Raimund J Ober

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2015. 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. New results on the single molecule localization problem in two and three dimensions.Proceedings of SPIE--the International Society for Optical Engineering · 2015
    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.

Amir TahmasbiDept. of Biomedical Engineering, Texas A&M University, College Station, TX, USA ; Dept. of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, USA.
Sripad RamDept. of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Jerry ChaoDept. of Biomedical Engineering, Texas A&M University, College Station, TX, USA ; Dept. of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, USA.
Anish V AbrahamDept. of Biomedical Engineering, Texas A&M University, College Station, TX, USA ; Dept. of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, USA.
E Sally WardDept. of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, USA ; Dept. of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, College Station, TX, USA.
Raimund J OberDept. of Biomedical Engineering, Texas A&M University, College Station, TX, USA ; Dept. of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, USA.

Funding

High accuracy quantum dot tracking in live cellsR01GM085575 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI OBER, RAIMUND J · 2008 to 2016
$2.5M
NIGMS NIH HHS R01 GM085575
6 · The paper itself

Abstract

Multifocal plane microscopy (MUM) is a 3D imaging modality which enables the localization and tracking of single molecules at high spatial and temporal resolution by simultaneously imaging distinct focal planes within the sample. MUM overcomes the depth discrimination problem of conventional microscopy and allows high accuracy localization of a single molecule in 3D along the z-axis. An important question in the design of MUM experiments concerns the appropriate number of focal planes and their spacings to achieve the best possible 3D localization accuracy along the z-axis. Ideally, it is desired to obtain a 3D localization accuracy that is uniform over a large depth and has small numerical values, which guarantee that the single molecule is continuously detectable. Here, we address this concern by developing a plane spacing design strategy based on the Fisher information. In particular, we analyze the Fisher information matrix for the 3D localization problem along the z-axis and propose spacing scenarios termed the strong coupling and the weak coupling spacings, which provide appropriate 3D localization accuracies. Using these spacing scenarios, we investigate the detectability of the single molecule along the z-axis and study the effect of changing the number of focal planes on the 3D localization accuracy. We further review a software module we recently introduced, the MUMDesignTool, that helps to design the plane spacings for a MUM setup.

Indexed as

Cramér-Rao lower boundFisher Information MatrixSingle molecule microscopy

Identifiers

PMID26113764
PMCPMC4476527

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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.