Evidence map›Paper›PMID 34456458›Full record

ArticleProceedings of the ... American Control Conference. American Control Conference2021

Tracking Multiple Diffusing Particles Using Information Optimal Control.

Samuel C Pinto, Nicholas A Vickers, Fatemeh Sharifi, Sean B Andersson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the ... American Control Conference. American Control Conference, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Real-Time Feedback-Driven Single-Particle Tracking: A Survey and Perspective.Small (Weinheim an der Bergstrasse, Germany) · 2022
    Review
  3. Analysis of an Extremum Seeking Controller Under Bounded Disturbance.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2021
    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

4 authors.

Samuel C Pinto *Mechanical Engineering, Boston University, Boston, MA 02215, USA.
Nicholas A Vickers *Mechanical Engineering, Boston University, Boston, MA 02215, USA.
Fatemeh SharifiMechanical Engineering, Boston University, Boston, MA 02215, USA.
Sean B AnderssonMechanical Engineering, Boston University, Boston, MA 02215, USA.

Funding

Joint estimation of motion model, model parameters, and particle trajectories in single particle trackingR01GM117039 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI ANDERSSON, SEAN B. · 2017 to 2021
$1.7M
NIGMS NIH HHS R01 GM117039
6 · The paper itself

Abstract

We study the problem of tracking multiple diffusing particles using a laser scanning fluorescence microscope. The goal is to design trajectories for the laser to maximize the information contained in the measured intensity signal about the particles' trajectories. Our approach consists of a two level scheme: in the lower level we use an extremum seeking controller to track a single particle by first seeking it then orbiting around it. In the higher level controller, we decide which particle should be observed at each instant, with the goal of efficiently estimating each particle position while not losing track of any of them. Using simulations, we show that this technique is able to collect photons efficiently and to track multiple particles with low position estimation error.

Identifiers

PMID34456458
PMCPMC8386661

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Registered trials

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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.