ArticleStem cell reports2015
Automated Identification and Localization of Hematopoietic Stem Cells in 3D Intravital Microscopy Data.
Article in Stem cell reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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
13 citing papers in PubMed.
- Practical AI-based cell extraction and spatial statistics for large 3D bone marrow tissue images.Cell reports methods · 2026Article
- Intravital imaging to study cancer progression and metastasis.Nature reviews. Cancer · 2023Review
- Advances and challenges in intravital imaging of craniofacial and dental progenitor cells.Genesis (New York, N.Y. : 2000) · 2022Review
- Multiphoton intravital microscopy of rodents.Nature reviews. Methods primers · 2022Article
- Recent advances in intravital microscopy for investigation of dynamic cellular behavior in vivo.BMB reports · 2020Review
- Frontiers in Intravital Multiphoton Microscopy of Cancer.Cancer reports (Hoboken, N.J.) · 2020Review
- Automated classification of bacterial cell sub-populations with convolutional neural networks.PloS one · 2020Article
- Redirection to the bone marrow improves T cell persistence and antitumor functions.The Journal of clinical investigation · 2018Article
- Engineering a multicellular vascular niche to model hematopoietic cell trafficking.Stem cell research & therapy · 2018Article
- Inhibition of Endosteal Vascular Niche Remodeling Rescues Hematopoietic Stem Cell Loss in AML.Cell stem cell · 2018Article
- Machine learning applications in cell image analysis.Immunology and cell biology · 2017Review
- T-cell acute leukaemia exhibits dynamic interactions with bone marrow microenvironments.Nature · 2016Article
- Current Understanding of the Pathways Involved in Adult Stem and Progenitor Cell Migration for Tissue Homeostasis and Repair.Stem cell reviews and reports · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Measuring three-dimensional (3D) localization of hematopoietic stem cells (HSCs) within the bone marrow microenvironment using intravital microscopy is a rapidly expanding research theme. This approach holds the key to understanding the detail of HSC-niche interactions, which are critical for appropriate stem cell function. Due to the complex tissue architecture of the bone marrow and to the progressive introduction of scattering and signal loss at increasing imaging depths, there is no ready-made software to handle efficient segmentation and unbiased analysis of the data. To address this, we developed an automated image analysis tool that simplifies and standardizes the biological interpretation of 3D HSC microenvironment images. The algorithm identifies HSCs and measures their localization relative to surrounding osteoblast cells and bone collagen. We demonstrate here the effectiveness, consistency, and accuracy of the proposed approach compared to current manual analysis and its wider applicability to analyze other 3D bone marrow components.
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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.