Cargando…
Image analysis-based quantification of fungal sporulation by automatic conidia counting and gray value correlation
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 equ...
Autores principales: | Muskat, Linda C., Kerkhoff, Yannic, Humbert, Pascal, Nattkemper, Tim W., Eilenberg, Jørgen, Patel, Anant V. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374203/ https://www.ncbi.nlm.nih.gov/pubmed/34434741 http://dx.doi.org/10.1016/j.mex.2021.101218 |
Ejemplares similares
-
Imidacloprid Movement into Fungal Conidia Is Lethal to Mycophagous Beetles
por: Choudhury, Robin A., et al.
Publicado: (2020) -
A fast open-source Fiji-macro to quantify virus infection and transfection on single-cell level by fluorescence microscopy
por: Kerkhoff, Yannic, et al.
Publicado: (2022) -
Identification of toxic mold species through Raman spectroscopy of fungal conidia
por: Strycker, Benjamin D., et al.
Publicado: (2020) -
Conidia Fusion: A Mechanism for Fungal Adaptation to Nutrient-Poor Habitats
por: Yang, Xinju, et al.
Publicado: (2023) -
Accurate expression quantification from nanopore direct RNA sequencing with NanoCount
por: Gleeson, Josie, et al.
Publicado: (2021)