Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

PT/Cy-based alloBMT platform as a curative, accessible alternative for pediatric and young adult severe aplastic anemia.

Blood advances·2026
Same author

Sub-Agatston Coronary Calcification on Non-Contrast Cardiac CT and Cardiovascular Risk.

European journal of preventive cardiology·2026
Same author

Local oxygen tension dictates hematopoietic cell growth and potency.

Leukemia·2026
Same author

A Community-Based Usability Study of an AI-Enabled Oral Cancer Screening App Operated by Village Health Volunteers: Mixed Methods Study.

JMIR mHealth and uHealth·2026
Same author

Photorealistic synthesis of oral lichen planus and lichenoid lesions enhances deep-learning segmentation in intra-oral photographs.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Post-transplant Cyclophosphamide (PTCy) for HLA-Matched Hematopoietic Stem Cell Transplant (HCT) in Pediatric and Young Adult Patients with Hematologic Malignancies.

Transplantation and cellular therapy·2026
Same journal

PIPA: Prior-Driven Prompting with Diagnosis-Oriented Retrieval-Augmentation for 3D Radiology Report Generation.

IEEE transactions on medical imaging·2026
Same journal

DiffGeo-AOR: Diffusion-Optimized Medical Grading via Geometric Priors enhanced Autoregressive Ordinal Regression.

IEEE transactions on medical imaging·2026
Same journal

UniOCTSeg++: Refined Hierarchical Prompt Strategy and Bi-directional Progressive Consistency Learning for Universal Retinal Layer Segmentation in OCT.

IEEE transactions on medical imaging·2026
Same journal

Volumetric Functional Ultrasound Imaging in Macaques.

IEEE transactions on medical imaging·2026
Same journal

MUST: Multi-style virtual staining with incomplete pairs.

IEEE transactions on medical imaging·2026
Same journal

BrainCL: Transformer-Based Brain Network Contrastive Learning with Multi-Order Topology and Salience Masking.

IEEE transactions on medical imaging·2026
See all related articles

Related Experiment Video

Updated: Mar 30, 2026

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
09:31

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

12.1K

Automatic Stem Cell Detection in Microscopic Whole Mouse Cryo-Imaging.

Patiwet Wuttisarnwattana, Madhusudhana Gargesha, Wouter van't Hof

    IEEE Transactions on Medical Imaging
    |November 10, 2015
    PubMed
    Summary
    This summary is machine-generated.

    We developed automated software for cryo-imaging to detect fluorescent stem cells in large datasets. This tool precisely tracks stem cell biodistribution and engraftment in mice, aiding therapeutic cell research.

    More Related Videos

    Multimodal Imaging of Stem Cell Implantation in the Central Nervous System of Mice
    10:25

    Multimodal Imaging of Stem Cell Implantation in the Central Nervous System of Mice

    Published on: June 13, 2012

    11.6K
    In Vivo 4-Dimensional Tracking of Hematopoietic Stem and Progenitor Cells in Adult Mouse Calvarial Bone Marrow
    12:54

    In Vivo 4-Dimensional Tracking of Hematopoietic Stem and Progenitor Cells in Adult Mouse Calvarial Bone Marrow

    Published on: September 4, 2014

    14.5K

    Related Experiment Videos

    Last Updated: Mar 30, 2026

    Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
    09:31

    Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

    Published on: April 8, 2015

    12.1K
    Multimodal Imaging of Stem Cell Implantation in the Central Nervous System of Mice
    10:25

    Multimodal Imaging of Stem Cell Implantation in the Central Nervous System of Mice

    Published on: June 13, 2012

    11.6K
    In Vivo 4-Dimensional Tracking of Hematopoietic Stem and Progenitor Cells in Adult Mouse Calvarial Bone Marrow
    12:54

    In Vivo 4-Dimensional Tracking of Hematopoietic Stem and Progenitor Cells in Adult Mouse Calvarial Bone Marrow

    Published on: September 4, 2014

    14.5K

    Area of Science:

    • Biomedical Imaging
    • Stem Cell Biology
    • Computational Biology

    Background:

    • Cryo-imaging offers high-resolution, large-volume analysis of stem cell behavior.
    • Accurate detection of fluorescently labeled stem cells is crucial for understanding biodistribution and engraftment.
    • Existing methods may struggle with the scale and complexity of cryo-imaging data.

    Purpose of the Study:

    • To develop and validate an automated software tool for detecting fluorescent stem cells in large cryo-imaging datasets.
    • To enable precise tracking of stem cell biodistribution, homing, and engraftment in vivo.
    • To provide a sensitive method for evaluating therapeutic cell delivery and efficacy.

    Main Methods:

    • Development of a highly automated software pipeline for cell detection in cryo-imaging data.
    • Utilized bagging decision trees for pixel classification and 3D segmentation.
    • Created synthetic datasets with realistic cell models for classifier training.
    • Implemented an alpha-multiplier to correct for variations in cell brightness.

    Main Results:

    • Achieved high precision (98.49%) and recall (99.97%) on synthetic data.
    • Demonstrated strong performance on actual cryo-images (precision=97.81%, recall=97.71%).
    • Successfully corrected for dim cells, significantly improving recall (49.26% to 99.36%) with minimal impact on precision.
    • Mapped stem cell distribution in mice post-injection, revealing specific organ localization.

    Conclusions:

    • The developed software provides sensitive, single-cell resolution for stem cell tracking in large cryo-imaging volumes.
    • This method enables accurate assessment of stem cell biodistribution and engraftment in mouse models.
    • The tool facilitates rational evaluation of dosing, delivery, and enhancements for therapeutic cells.