Cell enumeration and characterization in microvolume laser scanning cytometry: a multicolor image-processing package

Scott M. Norton; Jim Winkler; Louis J. Dietz

doi:10.1117/12.384214

27 April 2000 Cell enumeration and characterization in microvolume laser scanning cytometry: a multicolor image-processing package

Scott M. Norton, Jim Winkler, Louis J. Dietz

Author Affiliations +

Proceedings Volume 3921, Optical Diagnostics of Living Cells III; (2000) https://doi.org/10.1117/12.384214
Event: BiOS 2000 The International Symposium on Biomedical Optics, 2000, San Jose, CA, United States

Abstract

MLSC is an alternative to flow cytometry that has many advantages in clinical environments such as minimal sample preparation, low sample volume, and direct measurement of absolute cell counts. However, MLSC requires an added image- processing step to produce the industry-standard FCS output format. The image processing program needs to handle multiple binary images, representing different detection channels; it needs to determine the background fluorescence level in each channel; the overall noise in each channel such that it can enumerate cell from noise; it needs to ignore extraneous signal such as bubbles, dust particles and other artifacts; and it needs to characterize each recognized cell to report parameters such as weighted flux, size, ellipticity, and ratios and correlations between the signal in other channels at the same location. We have developed an image processing solution, SurroImage that meets the above criteria and performs well in a clinical research setting.

Citation Download Citation

Scott M. Norton, Jim Winkler, and Louis J. Dietz "Cell enumeration and characterization in microvolume laser scanning cytometry: a multicolor image-processing package", Proc. SPIE 3921, Optical Diagnostics of Living Cells III, (27 April 2000); https://doi.org/10.1117/12.384214

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