Evidence map›Paper›PMID 34708224›Full record

ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2019

Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy.

Neel Dey, Jeffrey Messinger, R Theodore Smith, Christine A Curcio, Guido Gerig

Abstract read
In one paragraph

Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks.Information processing in medical imaging : proceedings of the ... conference · 2023
    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.

Neel DeyDepartment of Computer Science and Engineering, New York University, Brooklyn, NY 11201, USA.
Jeffrey MessingerDepartment of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
R Theodore SmithDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Christine A CurcioDepartment of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Guido GerigDepartment of Computer Science and Engineering, New York University, Brooklyn, NY 11201, USA.

Funding

A hyperspectral approach to RPE fluorophores in AMDR01EY027948 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ACH, THOMAS, CURCIO, CHRISTINE A · 2017 to 2025
$3.8M
NEI NIH HHS R01 EY027948
6 · The paper itself

Abstract

Fixation is essential for preserving cellular morphology in biomedical research. However, it may also affect spectra captured in multispectral fluorescence microscopy, impacting molecular interpretations. To investigate fixation effects on tissue, multispectral fluorescence microscopy images of pairs of samples with and without fixation are captured. Each pixel might exhibit overlapping spectra, creating a blind source separation problem approachable with linear unmixing. With multiple excitation wavelengths, unmixing is intuitively extended to tensor factorizations. Yet these approaches are limited by nonlinear effects like attenuation. Further, light exposure during image acquisition introduces subtle Brownian motion between image channels of non-fixed tissue. Finally, hypothesis testing for spectral differences due to fixation is nontrivial as retrieved spectra are paired sequential samples. To these ends, we present three contributions, (1) a novel

Identifiers

PMID34708224
PMCPMC8547799

What OpenQuestion holds

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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.