Classification of yeast cells from image features to evaluate pathogen conditions

Peter van der Putten; Laura Bertens; Jinshuo Liu; Ferry Hagen; Teun Boekhout; Fons J. Verbeek

doi:10.1117/12.714072

29 January 2007 Classification of yeast cells from image features to evaluate pathogen conditions

Peter van der Putten, Laura Bertens, Jinshuo Liu, Ferry Hagen, Teun Boekhout, Fons J. Verbeek

Proceedings Volume 6506, Multimedia Content Access: Algorithms and Systems; 65060I (2007) https://doi.org/10.1117/12.714072
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

Morphometrics from images, image analysis, may reveal differences between classes of objects present in the images. We have performed an image-features-based classification for the pathogenic yeast Cryptococcus neoformans. Building and analyzing image collections from the yeast under different environmental or genetic conditions may help to diagnose a new "unseen" situation. Diagnosis here means that retrieval of the relevant information from the image collection is at hand each time a new "sample" is presented. The basidiomycetous yeast Cryptococcus neoformans can cause infections such as meningitis or pneumonia. The presence of an extra-cellular capsule is known to be related to virulence. This paper reports on the approach towards developing classifiers for detecting potentially more or less virulent cells in a sample, i.e. an image, by using a range of features derived from the shape or density distribution. The classifier can henceforth be used for automating screening and annotating existing image collections. In addition we will present our methods for creating samples, collecting images, image preprocessing, identifying "yeast cells" and creating feature extraction from the images. We compare various expertise based and fully automated methods of feature selection and benchmark a range of classification algorithms and illustrate successful application to this particular domain.

Citation Download Citation

Peter van der Putten, Laura Bertens, Jinshuo Liu, Ferry Hagen, Teun Boekhout, and Fons J. Verbeek "Classification of yeast cells from image features to evaluate pathogen conditions", Proc. SPIE 6506, Multimedia Content Access: Algorithms and Systems, 65060I (29 January 2007); https://doi.org/10.1117/12.714072

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