Reconstruction of objects with a limited number of non-zero components in fluorescence microscopy

Brynmor J. Davis; William C. Karl; Anna K. Swan; Bennett B. Goldberg; M. Selim Unlu; Marcia B. Goldberg

doi:10.1117/12.527800

13 July 2004 Reconstruction of objects with a limited number of non-zero components in fluorescence microscopy

Brynmor J. Davis, William C. Karl, Anna K. Swan, Bennett B. Goldberg, M. Selim Unlu, Marcia B. Goldberg

Author Affiliations +

Proceedings Volume 5324, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XI; (2004) https://doi.org/10.1117/12.527800
Event: Biomedical Optics 2004, 2004, San Jose, CA, United States

Abstract

A reconstruction algorithm is developed that uses specific a-priori knowledge to produce higher resolution images than standard approaches. Deconvolution is an important image reconstruction tool in fluorescence microscopy. This is especially true for modern interferometric instruments (such as I5M and 4Pi systems), as they may have complicated oscillatory point spread functions. Current methods are designed to work on an arbitrary object - i.e. it is assumed that there is no available a-priori knowledge of the object (with the possible exception of a non- negative condition on the fluorophore-emission intensities). In situations where there is a-priori knowledge of the object, it may be possible to use this information to produce a higher quality reconstruction of the object. A useful a-priori condition is investigated here. It is assumed that the object can be represented by the sum of not more than L basis functions. The simplest example of this is when the basis functions are impulses - this leads to an object of L or less non-zero points on a background of zeros. This a-priori condition can be applied directly; applied to a limited region of the object; applied in one dimension (for an object with a layered structure such as lipid bilayers); or applied in two dimensions (for an object with a filamentary structure such as actin fibers.) A reconstruction algorithm is described and applied to some illustrative simulated examples. The results are found for several fluorescence microscopy methodologies and compared to the results produced by standard deconvolution methods.

Citation Download Citation

Brynmor J. Davis, Brynmor J. Davis, William C. Karl, William C. Karl, Anna K. Swan, Anna K. Swan, Bennett B. Goldberg, Bennett B. Goldberg, M. Selim Unlu, M. Selim Unlu, Marcia B. Goldberg, Marcia B. Goldberg, } "Reconstruction of objects with a limited number of non-zero components in fluorescence microscopy", Proc. SPIE 5324, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XI, (13 July 2004); doi: 10.1117/12.527800; https://doi.org/10.1117/12.527800

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years