Automated identification and localization of hematopoietic stem cells in 3D intravital microscopy data
File(s)
Published version
Author(s)
Type
Journal Article
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
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
Date Issued
2015-06-25
Date Acceptance
2015-05-08
Citation
Stem Cell Reports, 2015, 5 (1), pp.139-153
ISSN
2213-6711
Publisher
Elsevier (Cell Press): OAJ
Start Page
139
End Page
153
Journal / Book Title
Stem Cell Reports
Volume
5
Issue
1
Copyright Statement
© 2015 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Publication Status
Published