Optical projection tomography: theory and optimization

Yi Wang; Da Xing

doi:10.1117/12.571399

29 July 2004 Optical projection tomography: theory and optimization

Yi Wang, Da Xing

Author Affiliations +

Proceedings Volume 5486, ALT'03 International Conference on Advanced Laser Technologies: Biomedical Optics; (2004) https://doi.org/10.1117/12.571399
Event: ALT'03 International Conference on Advanced Laser Technologies: Biomedical Optics, 2003, Silsoe, United Kingdom

Abstract

Optical projection tomography (OPT) is a potential novel technique for the studies of developmental biology and gene function. It can be used to produce high-resolution 3D images of both fluorescent and nonfluorescent biological specimens. In this technique, the raw data must be mathematically transformed to reconstruct the original specimens using the principle of projection tomography. But in fact, OPT doesn't satisfy the condition of the principle, which requires that the raw data must be parallel linear integral through the specimen. In this paper, based on the fundamental of OPT, we have founded a simulation system by means of simulating a non-correlative diffraction-limited optical system, it is useful for designing or evaluating an OPT system. Using this simulation system, we have explored the influences of different parameters of OPT on reconstructed images. In addition, some suggestions are presented to improve future designs.

Citation Download Citation

Yi Wang and Da Xing "Optical projection tomography: theory and optimization", Proc. SPIE 5486, ALT'03 International Conference on Advanced Laser Technologies: Biomedical Optics, (29 July 2004); https://doi.org/10.1117/12.571399

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