Evidence map›Paper›PMID 24673143›Full record

ReviewJournal of microscopy2014

Motion compensation for in vivo subcellular optical microscopy.

B Lucotte, R S Balaban

Abstract readReview
In one paragraph

Review in Journal of microscopy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. A bird's-eye view of deep learning in bioimage analysis.Computational and structural biotechnology journal · 2020
    Review
  3. Article
  4. 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

2 authors.

B LucotteLaboratory of Cardiac Energetics, Systems Biology Center, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, U.S.A.
R S BalabanLaboratory of Cardiac Energetics, Systems Biology Center, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, U.S.A.

Funding

Intra-vital microscopy using non-linear optical techniquesZIAHL004610 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BALABAN, ROBERT · 2009 to 2020
$10.9M
Intramural NIH HHS ZIA HL004610
6 · The paper itself

Abstract

In this review, we focus on the impact of tissue motion on attempting to conduct subcellular resolution optical microscopy, in vivo. Our position is that tissue motion is one of the major barriers in conducting these studies along with light induced damage, optical probe loading as well as absorbing and scattering effects on the excitation point spread function and collection of emitted light. Recent developments in the speed of image acquisition have reached the limit, in most cases, where the signal from a subcellular voxel limits the speed and not the scanning rate of the microscope. Different schemes for compensating for tissue displacements due to rigid body and deformation are presented from tissue restriction, gating, adaptive gating and active tissue tracking. We argue that methods that minimally impact the natural physiological motion of the tissue are desirable because the major reason to perform in vivo studies is to evaluate normal physiological functions. Towards this goal, active tracking using the optical imaging data itself to monitor tissue displacement and either prospectively or retrospectively correct for the motion without affecting physiological processes is desirable. Critical for this development was the implementation of near real time image processing in conjunction with the control of the microscope imaging parameters. Clearly, the continuing development of methods of motion compensation as well as significant technological solutions to the other barriers to tissue subcellular optical imaging in vivo, including optical aberrations and overall signal-to-noise ratio, will make major contributions to the understanding of cell biology within the body.

Indexed as

Cytological TechniquesImage Processing, Computer-AssistedMicroscopyMotionOptical Imaging

Identifiers

PMID24673143
PMCPMC4229363

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.