Imperial College London

ProfessorCristinaLo Celso

Faculty of Natural SciencesDepartment of Life Sciences

Professor of Stem Cell Biology



+44 (0)20 7594 5359c.lo-celso




550Sir Alexander Fleming BuildingSouth Kensington Campus






BibTex format

author = {Khorshed, R and Hawkins, ED and Duarte, D and Scott, MK and Akinduro, OA and Rashidi, NM and Spitaler, M and Lo, Celso C},
doi = {10.1016/j.stemcr.2015.05.017},
journal = {Stem Cell Reports},
pages = {139--153},
title = {Automated identification and localization of hematopoietic stem cells in 3D intravital microscopy data},
url = {},
volume = {5},
year = {2015}

RIS format (EndNote, RefMan)

AB - Measuring three-dimensional (3D) localization of hematopoietic stem cells (HSCs) within the bone marrow microenvironment usingintravital 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 theprogressive introduction of scattering and signal loss at increasing imaging depths, there is no ready-made software to handle efficientsegmentation and unbiased analysis of the data. To address this, we developed an automated image analysis tool that simplifies and standardizesthe biological interpretation of 3D HSC microenvironment images. The algorithm identifies HSCs and measures their localizationrelative to surrounding osteoblast cells and bone collagen. We demonstrate here the effectiveness, consistency, and accuracy of theproposed approach compared to current manual analysis and its wider applicability to analyze other 3D bone marrow components
AU - Khorshed,R
AU - Hawkins,ED
AU - Duarte,D
AU - Scott,MK
AU - Akinduro,OA
AU - Rashidi,NM
AU - Spitaler,M
AU - Lo,Celso C
DO - 10.1016/j.stemcr.2015.05.017
EP - 153
PY - 2015///
SN - 2213-6711
SP - 139
TI - Automated identification and localization of hematopoietic stem cells in 3D intravital microscopy data
T2 - Stem Cell Reports
UR -
UR -
VL - 5
ER -