ArticleScientific reports2014
Automated motion artifact removal for intravital microscopy, without a priori information.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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.
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Who cites it
27 citing papers in PubMed.
- Artifact detection in fluorescence microscopy using convolutional autoencoder.Scientific reports · 2025Article
- Intravital two-photon microscopy of the native mouse thymus.PloS one · 2024Article
- Toward next-generation endoscopes integrating biomimetic video systems, nonlinear optical microscopy, and deep learning.Biophysics reviews · 2023Review
- In Vivo Click Chemistry Enables Multiplexed Intravital Microscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Handheld laser scanning microscope catheter for real-time andBiomedical optics express · 2022Article
- Fluorescence Microscopy-An Outline of Hardware, Biological Handling, and Fluorophore Considerations.Cells · 2021Review
- High-resolution structural and functional deep brain imaging using adaptive optics three-photon microscopy.Nature methods · 2021Article
- Intravital mesoscopic fluorescence molecular tomography allows non-invasive in vivo monitoring and quantification of breast cancer growth dynamics.Communications biology · 2021Article
- Experimental pathology by intravital microscopy and genetically encoded fluorescent biosensors.Pathology international · 2020Review
- Multiphoton intravital microscopy in small animals: motion artefact challenges and technical solutions.Journal of microscopy · 2020Review
- Multicolor two-photon imaging of in vivo cellular pathophysiology upon influenza virus infection using the two-photon IMPRESS.Nature protocols · 2020Article
- Intravital Microscopy of the Beating Murine Heart to Understand Cardiac Leukocyte Dynamics.Frontiers in immunology · 2020Review
- Improving nanotherapy delivery and action through image-guided systems pharmacology.Theranostics · 2020Review
- Textures of the tumour microenvironment.Essays in biochemistry · 2019Review
- Label-Free Multiphoton Endomicroscopy for Minimally Invasive In Vivo Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
- Imaging the pharmacology of nanomaterials by intravital microscopy: Toward understanding their biological behavior.Advanced drug delivery reviews · 2017Review
- Clinically compatible flexible wide-field multi-color fluorescence endoscopy with a porcine colon model.Biomedical optics express · 2017Article
- Characterization of Cardiac Dynamics in an Acute Myocardial Infarction Model by Four-Dimensional Optoacoustic and Magnetic Resonance Imaging.Theranostics · 2017Article
- A simple approach for measuring FRET in fluorescent biosensors using two-photon microscopy.Nature protocols · 2016Article
- Tyrosine kinase-mediated axial motility of basal cells revealed by intravital imaging.Nature communications · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Intravital fluorescence microscopy, through extended penetration depth and imaging resolution, provides the ability to image at cellular and subcellular resolution in live animals, presenting an opportunity for new insights into in vivo biology. Unfortunately, physiological induced motion components due to respiration and cardiac activity are major sources of image artifacts and impose severe limitations on the effective imaging resolution that can be ultimately achieved in vivo. Here we present a novel imaging methodology capable of automatically removing motion artifacts during intravital microscopy imaging of organs and orthotopic tumors. The method is universally applicable to different laser scanning modalities including confocal and multiphoton microscopy, and offers artifact free reconstructions independent of the physiological motion source and imaged organ. The methodology, which is based on raw data acquisition followed by image processing, is here demonstrated for both cardiac and respiratory motion compensation in mice heart, kidney, liver, pancreas and dorsal window chamber.
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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.