Evidence map›Paper›PMID 26167102›Full record

ArticleIEEE signal processing magazine2015

Quantitative Aspects of Single Molecule Microscopy.

Raimund J Ober, Amir Tahmasbi, Sripad Ram, Zhiping Lin, E Sally Ward

Open access · greenAbstract read
In one paragraph

Article in IEEE signal processing magazine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. New results on the single molecule localization problem in two and three dimensions.Proceedings of SPIE--the International Society for Optical Engineering · 2015
    Article
  9. Article
  10. An information-theoretic approach to designing the plane spacing for multifocal plane microscopy.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

5 authors at 3 institutions in 2 countries.

Raimund J Ober
Amir Tahmasbi
Sripad Ram
Zhiping Lin
E Sally Ward
The University of Texas at Dallas · USThe University of Texas Southwestern Medical Center · USNanyang Technological University · SG

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

Single molecule microscopy is a relatively new optical microscopy technique that allows the detection of individual molecules such as proteins in a cellular context. This technique has generated significant interest among biologists, biophysicists and biochemists, as it holds the promise to provide novel insights into subcellular processes and structures that otherwise cannot be gained through traditional experimental approaches. Single molecule experiments place stringent demands on experimental and algorithmic tools due to the low signal levels and the presence of significant extraneous noise sources. Consequently, this has necessitated the use of advanced statistical signal and image processing techniques for the design and analysis of single molecule experiments. In this tutorial paper, we provide an overview of single molecule microscopy from early works to current applications and challenges. Specific emphasis will be on the quantitative aspects of this imaging modality, in particular single molecule localization and resolvability, which will be discussed from an information theoretic perspective. We review the stochastic framework for image formation, different types of estimation techniques and expressions for the Fisher information matrix. We also discuss several open problems in the field that demand highly non-trivial signal processing algorithms.

Identifiers

PMID26167102
PMCPMC4494126
OpenAlexW1985242342

What OpenQuestion holds

Textmetadata
LicenceTDM
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.