Segmentation of Virus Particle Candidates in Transmission Electron Microscopy Images

Sammanfattning

In this paper, we present an automatic segmentation method that detects virus particles of various shapes in transmission electron microscopy images. The method is based on a statistical analysis of local neighbourhoods of all the pixels in the image followed by an object width discrimination and finally, for elongated objects, a border refinement step. It requires only one input parameter, the approximate width of the virus particles searched for. The proposed method is evaluated on a large number of viruses. It successfully segments viruses regardless of shape, from polyhedral to highly pleomorphic

Publicerad i

Journal of Microscopy
2012, volym: 245, nummer: 2, sidor: 140-147
Utgivare: Blackwell Publishing

SLU författare

• Sintorn, Ida-Maria

  • Centre for Image Analysis, Sveriges lantbruksuniversitet
    

• Borgefors, Gunilla

  • Centre for Image Analysis, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Medicinsk bioteknologi (med inriktning mot cellbiologi (inklusive stamcellsbiologi), molekylärbiologi, mikrobiologi, biokemi eller biofarmaci)
Radiologi och bildbehandling

Publikationens identifierare

• DOI: https://doi.org/10.1111/j.1365-2818.2011.03556.x

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/35992