Identification and classification of human cytomegalovirus capsids in textured electron micrographs using deformed template matching.
BACKGROUND
Characterization of the structural morphology of virus particles in electron micrographs is a complex task, but desirable in connection with investigation of the maturation process and detection of changes in viral particle morphology in response to the effect of a mutation or antiviral drugs being applied. Therefore, we have here developed a procedure for describing and classifying virus particle forms in electron micrographs, based on determination of the invariant characteristics of the projection of a given virus structure. The template for the virus particle is created on the basis of information obtained from a small training set of electron micrographs and is then employed to classify and quantify similar structures of interest in an unlimited number of electron micrographs by a process of correlation.


RESULTS
Practical application of the method is demonstrated by the ability to locate three diverse classes of virus particles in transmission electron micrographs of fibroblasts infected with human cytomegalovirus. These results show that fast screening of the total number of viral structures at different stages of maturation in a large set of electron micrographs, a task that is otherwise both time-consuming and tedious for the expert, can be accomplished rapidly and reliably with our automated procedure. Using linear deformation analysis, this novel algorithm described here can handle capsid variations such as ellipticity and furthermore allows evaluation of properties such as the size and orientation of a virus particle.


CONCLUSIONS
Our methodological procedure represents a promising objective tool for comparative studies of the intracellular assembly processes of virus particles using electron microscopy in combination with our digitized image analysis tool. An automated method for sorting and classifying virus particles at different stages of maturation will enable us to quantify virus production in all stages of the virus maturation process, not only count the number of infectious particles released from un infected cell.
Ryner
Martin
M
Department of Medicine, Centre for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden. martinrr@kth.se
Strömberg
Jan-Olov
JO
Söderberg-Nauclér
Cecilia
C
Homman-Loudiyi
Mohammed
M
D000465:Algorithms; D002213:Capsid / Q000145:classification* / Q000648:ultrastructure*; D002460:Cell Line; D003587:Cytomegalovirus / Q000378:metabolism / Q000648:ultrastructure*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D046529:Microscopy, Electron, Transmission / Q000379:methods*; D014771:Virion / Q000378:metabolism*; D014773:Virology / Q000379:methods; D019065:Virus Assembly