Evidence map›Paper›PMID 24665193›Full record

ArticleIEEE transactions on signal processing : a publication of the IEEE Signal Processing Society2011

Limit of the Accuracy of Parameter Estimation for Moving Single Molecules Imaged by Fluorescence Microscopy.

Yau Wong, Zhiping Lin, Raimund J Ober

Abstract read
In one paragraph

Article in IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Limit of the Accuracy of Parameter Estimation for Two Molecules Moving in Close Proximity.IEEE International Symposium on Circuits and Systems proceedings. IEEE International Symposium on Circuits and Systems · 2015
    Article
  6. Quantitative Aspects of Single Molecule Microscopy.IEEE signal processing magazine · 2015
    Article
  7. Article
  8. Article
  9. Review
  10. Analysis of Point Based Image Registration Errors With Applications in Single Molecule Microscopy.IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · 2013
    Article
  11. Article
  12. Influence of Prior Knowledge on the Accuracy Limit of Parameter Estimation in Single-Molecule Fluorescence Microscopy.IEEE International Symposium on Circuits and Systems proceedings. IEEE International Symposium on Circuits and Systems · 2013
    Article
  13. 3D single molecule tracking and superresolution microscopy using multifocal plane microscopy.Proceedings. IEEE International Symposium on Biomedical Imaging · 2012
    Article
  14. Measurement Errors in Fluorescence Microscopy Image Registration.Conference record. Asilomar Conference on Signals, Systems & Computers · 2012
    Article
  15. Optimal diffusion coefficient estimation in single-particle tracking.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012
    Article
  16. 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

3 authors.

Yau WongSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798.
Zhiping LinSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798.
Raimund J OberThe Erik Jonsson School of Electrical Engineering and Computer Science, University of Texas at Dallas, Richardson, TX 75083-0688 USA. He is also with the Department of Immunology, University of Texas Southwestern Medical Center at Dallas, TX 75235-8576 USA.

Funding

High accuracy quantum dot tracking in live cellsR01GM085575 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI OBER, RAIMUND J · 2008 to 2016
$2.5M
Quantitative Aspects of Single Molecule DetectionR01GM071048 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI OBER, RAIMUND J · 2005 to 2008
$1.0M
NIGMS NIH HHS R01 GM071048NIGMS NIH HHS R01 GM085575
6 · The paper itself

Abstract

In this paper, we consider the problem of the accuracy of estimating the location and other attributes of a moving single molecule whose trajectory is imaged by fluorescence microscopy. As accuracy in parameter estimation is closely related to the Fisher information matrix, we first give a general expression of the Fisher information matrix for the estimated parameters for a single object moving in three-dimensional (3D) space. Explicit Cramér-Rao lower bound (CRLB) expressions are then obtained from the Fisher information matrix for a single object moving in the two-dimensional (2D) focus plane with the object trajectory being either linear or circular. We also investigate how extraneous noise sources, pixelation, parameters of the detection system and parameters of the trajectory affect the limit of the accuracy. The results obtained in this paper provide insights that enable the experimentalists to optimize their experimental setups for tracking single molecules in order to achieve the best possible accuracy. They are also applicable to the general problem of tracking an object using quantum limited detectors.

Indexed as

Cramér-Rao lower bound (CRLB)Fisher information matrixfluorescence microscopylimit of the accuracymoving objectquantum limited imagingsingle-molecule microscopy

Identifiers

PMID24665193
PMCPMC3962682

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.