Scheda di dettaglio – i prodotti della ricerca
Dato | Valore |
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Title | Deconvolution models for a better understanding of natural microbial communities enumerated by flow-cytometry |
Abstract | The application of flow cytometry is well-established for the characterization of aquatic microbial communities in natural systems |
Source | Cytometry. Part A 93 (2), pp. 180–181 |
Keywords | deconvolution models; bacterial aggregation; aquatic bacterial communities |
Journal | Cytometry. Part A |
Editor | Wiley-Liss,, Hoboken, N.J., Stati Uniti d'America |
Year | 2018 |
Type | Articolo in rivista |
DOI | 10.1002/cyto.a.23330 |
Authors | Corno G.; Callieri C. |
Text | 392823 2018 10.1002/cyto.a.23330 Scopus 2 s2.0 85042355642 ISI Web of Science WOS 000426061500005 deconvolution models; bacterial aggregation; aquatic bacterial communities Deconvolution models for a better understanding of natural microbial communities enumerated by flow cytometry Corno G.; Callieri C. Microbial Ecology Group, CNR Institute of Ecosystem Study, Verbania, , Italy The application of flow cytometry is well established for the characterization of aquatic microbial communities in natural systems 93 Published version http //www.scopus.com/inward/record.url eid=2 s2.0 85042355642 partnerID=q2rCbXpz Articolo 2018_Cytometry_Part_A_93A_180_181.pdf Articolo in rivista Wiley Liss, 1552 4922 Cytometry. Part A Cytometry. Part A Cytometry, Part A Cytometry. cristiana.callieri CALLIERI CRISTIANA gianluca.corno CORNO GIANLUCA |