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Classification of target tissues of Eisenia fetida using sequential multimodal chemical analysis and machine learning
Acquiring comprehensive knowledge about the uptake of pollutants, impact on tissue integrity and the effects at the molecular level in organisms is of increasing interest due to the environmental exposure to numerous contaminants. The analysis of tissues can be performed by histological examination,...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847259/ https://www.ncbi.nlm.nih.gov/pubmed/34750664 http://dx.doi.org/10.1007/s00418-021-02037-1 |