Automated in vivo change analysis of tumor vasculature from two-photon confocal image time series

Muhammad-Amri Abdul-Karim; Omar Al-Kofahi; Edward B. Brown III; Rakesh K. Jain; Khalid Al-Kofahi; Badrinath Roysam

doi:10.1117/12.477991

10 July 2003 Automated in vivo change analysis of tumor vasculature from two-photon confocal image time series

Muhammad-Amri Abdul-Karim, Omar Al-Kofahi, Edward B. Brown III, Rakesh K. Jain, Khalid Al-Kofahi, Badrinath Roysam

Proceedings Volume 4963, Multiphoton Microscopy in the Biomedical Sciences III; (2003) https://doi.org/10.1117/12.477991
Event: Biomedical Optics, 2003, San Jose, CA, United States

Abstract

Automated methods are described for in vivo quantitation of changes in tumor vasculature. The tumor subsurface is imaged non-invasively over time with two-photon confocal microscopy aided by a variety of chronic animal window preparations. This results in time series of three-dimensional (3-D) image stacks for each specimen at high resolution (768x512x32 voxels, 8 bits/voxel, every 24 hours for 7 days), imaging depth and signal-to-background ratio. Next, automated image analysis allows detection and quantitation of vascular changes in a rapid and objective manner without manual tedium. We describe a fast new algorithm for fully automated 3-D tracing (50 seconds to trace a 10 MB stack on a Dell 1 GHz Pentium III personal computer). A variety of measurements including tortuosity, length, thickness, and branching order are generated and analyzed. Quantitative validation of the performance of the tracing algorithm against manual tracing resulted in 81% concordance. This enables a broader set of change analysis studies including testing the efficacy of anti-angiogenic therapies and deriving vessel growth parameters that may be correlated with physiological and gene expression profiles in tumor.

Citation Download Citation

Muhammad-Amri Abdul-Karim, Omar Al-Kofahi, Edward B. Brown III, Rakesh K. Jain, Khalid Al-Kofahi, and Badrinath Roysam "Automated in vivo change analysis of tumor vasculature from two-photon confocal image time series", Proc. SPIE 4963, Multiphoton Microscopy in the Biomedical Sciences III, (10 July 2003); https://doi.org/10.1117/12.477991

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available