Evidence map›Paper›PMID 27192234›Full record

ArticleOptics letters2016

Optimal estimator for tomographic fluorescence lifetime multiplexing.

Steven S Hou, Brian J Bacskai, Anand T N Kumar

Abstract read
In one paragraph

Article in Optics letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Research square · 2023
    Article
  2. Article
  3. Article
  4. Deep learning-based mesoscopic fluorescence molecular tomography: anJournal of medical imaging (Bellingham, Wash.) · 2018
    Article
  5. Article
  6. 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.

Steven S Hou
Brian J Bacskai
Anand T N Kumar

Funding

Multiphoton microscopy for in vivo neural imaging.R01EB000768 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BACSKAI, BRIAN J · 2002 to 2015
$5.0M
Fluorescence lifetime tomography of tumor physiology in small animalsR01EB015325 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI KUMAR, ANAND T.N. · 2011 to 2014
$1.5M
NIBIB NIH HHS R01 EB000768NIBIB NIH HHS R01 EB015325
6 · The paper itself

Abstract

We use the model resolution matrix to analytically derive an optimal Bayesian estimator for multiparameter inverse problems that simultaneously minimizes inter-parameter cross talk and the total reconstruction error. Application of this estimator to time-domain diffuse fluorescence imaging shows that the optimal estimator for lifetime multiplexing is identical to a previously developed asymptotic time-domain (ATD) approach, except for the inclusion of a diagonal regularization term containing decay amplitude uncertainties. We show that, while the optimal estimator and ATD provide zero cross talk, the optimal estimator provides lower reconstruction error, while ATD results in superior relative quantitation. The framework presented here is generally applicable to other multiplexing problems where the simultaneous and accurate relative quantitation of multiple parameters is of interest.

Identifiers

PMID27192234
PMCPMC4874739

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.