ArticleJournal of biomedical optics2017
Motion characterization scheme to minimize motion artifacts in intravital microscopy.
Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Accessing the viscera: Technologies for interoception research.Current opinion in neurobiology · 2025Review
- Functional Microendoscopy Reveals Calcium Responses of Single Cells in Tracheal Tuft Cells and Kidney Podocytes.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Perfusion Window Chambers Enable Interventional Analyses of Tumor Microenvironments.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- A historical review of experimental imaging of the beating heart coronary microcirculation in vivo.Journal of anatomy · 2023Review
- In Vivo Click Chemistry Enables Multiplexed Intravital Microscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Revealing the nanometric structural changes in myocardial infarction models by time-lapse intravital imaging.Frontiers in bioengineering and biotechnology · 2022Article
- Compensation of physiological motion enables high-yield whole-cell recording in vivo.Journal of neuroscience methods · 2021Article
- A Compact High-Speed Image-Based Method for Measuring the Longitudinal Motion of Living Tissues.Sensors (Basel, Switzerland) · 2020Article
- Intravital Microscopy of the Beating Murine Heart to Understand Cardiac Leukocyte Dynamics.Frontiers in immunology · 2020Review
- Myeloid cells in cardiovascular organs.Journal of internal medicine · 2019Review
- Live Intravital Imaging of Cellular Trafficking in the Cardiac Microvasculature-Beating the Odds.Frontiers in immunology · 2019Review
- Fluorescence anisotropy imaging in drug discovery.Advanced drug delivery reviewsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Respiratory- and cardiac-induced motion artifacts pose a major challenge for in vivo optical imaging, limiting the temporal and spatial imaging resolution in fluorescence laser scanning microscopy. Here, we present an imaging platform developed for in vivo characterization of physiologically induced axial motion. The motion characterization system can be straightforwardly implemented on any conventional laser scanning microscope and can be used to evaluate the effectiveness of different motion stabilization schemes. This method is particularly useful to improve the design of novel tissue stabilizers and to facilitate stabilizer positioning in real time, therefore facilitating optimal tissue immobilization and minimizing motion induced artifacts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.