Image analysis-based quantification of fungal sporulation by automatic conidia counting and gray value correlation.

ABSTRACT: The present work describes a new computer-assisted image analysis method for the rapid, simple, objective and reproducible quantification of actively discharged fungal spores which can serve as a manual for laboratories working in this context. The method can be used with conventional laboratory equipment by using bright field microscopes, standard scanners and the open-source software ImageJ. Compared to other conidia quantification methods by computer-assisted image analysis, the presented method bears a higher potential to be applied for large-scale sample quantities. The key to make quantification faster is the calculation of the linear relationship between the gray value and the automatically counted number of conidia that has only to be performed once in the beginning of analysis. Af

SUBMITTER: Muskat LC 

PROVIDER: S-EPMC8374203 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature