Evidence map›Paper›PMID 32225599›Full record

ArticleOptics express2020

Variable incidence angle linear dichroism (VALiD): a technique for unique 3D orientation measurement of fluorescent ensembles.

Aaron T Blanchard, Joshua M Brockman, Khalid Salaita, Alexa L Mattheyses

Abstract read
In one paragraph

Article in Optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Volumetric imaging of the 3D orientation of cellular structures with a polarized fluorescence light-sheet microscope.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Review
  3. Article
  4. DNA Nanotechnology for Investigating Mechanical Signaling in the Immune System.Angewandte Chemie (International ed. in English) · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. 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.

Aaron T Blanchard
Joshua M Brockman
Khalid Salaita
Alexa L Mattheyses

Funding

Nanoscale structure and function of desmosomesR01AR072697 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Alexa Lynn Mattheyses · 2018 to 2026
$2.4M
Molecular imaging technologies for mechanobiologyR01GM131099 · NIGMS · EMORY UNIVERSITY · PI MATTHEYSES, ALEXA LYNN, SALAITA, KHALID S. · 2019 to 2022
$1.6M
Developing a Bioanalytical Toolkit to Study the Mechanobiology of Juxtacrine SignalingR01GM124472 · NIGMS · EMORY UNIVERSITY · PI SALAITA, KHALID S. · 2017 to 2020
$1.5M
NIAMS NIH HHS R01 AR072697NIGMS NIH HHS R01 GM124472NIGMS NIH HHS R01 GM131099
6 · The paper itself

Abstract

A fundamental challenge with fluorophore orientation measurement is degeneracy, which is the inability to distinguish between multiple unique fluorophore orientations. Techniques exist for the non-degenerate measurement of the orientations of single, static fluorophores. However, such techniques are unsuitable for densely labeled and/or dynamic samples common to biological research. Accordingly, a rapid, widefield microscopy technique that can measure orientation parameters for ensembles of fluorophores in a non-degenerate manner is desirable. We propose that exciting samples with polarized light and multiple incidence angles could enable such a technique. We use Monte Carlo simulations to validate this approach for specific axially symmetric ensembles of fluorophores and obtain optimal experimental parameters for its future implementation.

Indexed as

Imaging, Three-DimensionalSpectrum AnalysisAlgorithmsFluorescenceFluorescent DyesMonte Carlo MethodPhotonsFluorescent Dyes

Identifiers

PMID32225599
PMCPMC7340377

What OpenQuestion holds

Textmetadata
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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.