UNIVERSI
TÄ
TS-
BIBLIOTHEK
P
ADERBORN
Anmelden
Menü
Menü
Start
Hilfe
Blog
Weitere Dienste
Neuerwerbungslisten
Fachsystematik Bücher
Erwerbungsvorschlag
Bestellung aus dem Magazin
Fernleihe
Einstellungen
Sprache
Deutsch
Deutsch
Englisch
Farbschema
Hell
Dunkel
Automatisch
Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist
gegebenenfalls
nur via VPN oder Shibboleth (DFN-AAI) möglich.
mehr Informationen...
Universitätsbibliothek
Katalog
Suche
Details
Zur Ergebnisliste
Ergebnis 24 von 49
Datensatz exportieren als...
BibTeX
Semiautomated confocal imaging of fungal pathogenesis on plants: Microscopic analysis of macroscopic specimens
Microscopy research and technique, 2018-02, Vol.81 (2), p.141-152
Minker, Katharine R.
Biedrzycki, Meredith L.
Kolagunda, Abhishek
Rhein, Stephen
Perina, Fabiano J.
Jacobs, Samuel S.
Moore, Michael
Jamann, Tiffany M.
Yang, Qin
Nelson, Rebecca
Balint‐Kurti, Peter
Kambhamettu, Chandra
Wisser, Randall J.
Caplan, Jeffrey L.
2018
Details
Autor(en) / Beteiligte
Minker, Katharine R.
Biedrzycki, Meredith L.
Kolagunda, Abhishek
Rhein, Stephen
Perina, Fabiano J.
Jacobs, Samuel S.
Moore, Michael
Jamann, Tiffany M.
Yang, Qin
Nelson, Rebecca
Balint‐Kurti, Peter
Kambhamettu, Chandra
Wisser, Randall J.
Caplan, Jeffrey L.
Titel
Semiautomated confocal imaging of fungal pathogenesis on plants: Microscopic analysis of macroscopic specimens
Ist Teil von
Microscopy research and technique, 2018-02, Vol.81 (2), p.141-152
Ort / Verlag
United States: Wiley Subscription Services, Inc
Erscheinungsjahr
2018
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
ABSTRACT The study of phenotypic variation in plant pathogenesis provides fundamental information about the nature of disease resistance. Cellular mechanisms that alter pathogenesis can be elucidated with confocal microscopy; however, systematic phenotyping platforms—from sample processing to image analysis—to investigate this do not exist. We have developed a platform for 3D phenotyping of cellular features underlying variation in disease development by fluorescence‐specific resolution of host and pathogen interactions across time (4D). A confocal microscopy phenotyping platform compatible with different maize–fungal pathosystems (fungi: Setosphaeria turcica, Cochliobolus heterostrophus, and Cercospora zeae‐maydis) was developed. Protocols and techniques were standardized for sample fixation, optical clearing, species‐specific combinatorial fluorescence staining, multisample imaging, and image processing for investigation at the macroscale. The sample preparation methods presented here overcome challenges to fluorescence imaging such as specimen thickness and topography as well as physiological characteristics of the samples such as tissue autofluorescence and presence of cuticle. The resulting imaging techniques provide interesting qualitative and quantitative information not possible with conventional light or electron 2D imaging. Microsc. Res. Tech., 81:141–152, 2018. © 2016 Wiley Periodicals, Inc.
Sprache
Englisch
Identifikatoren
ISSN: 1059-910X
eISSN: 1097-0029
DOI: 10.1002/jemt.22709
Titel-ID: cdi_proquest_miscellaneous_1826710292
Format
–
Schlagworte
Automation
,
Combinatorial analysis
,
Confocal microscopy
,
Corn
,
Disease resistance
,
Fluorescence
,
Fungi
,
Fungi - pathogenicity
,
Image analysis
,
Image processing
,
Image Processing, Computer-Assisted - methods
,
Imaging techniques
,
Microscopic analysis
,
Microscopy
,
Microscopy, Confocal - methods
,
Optical Imaging - methods
,
Pathogenesis
,
Phenotypic variations
,
Phenotyping
,
Plant diseases
,
Plant Diseases - microbiology
,
plant–pathogen interactions
,
Sample preparation
,
Specimen Handling - methods
,
Staining and Labeling - methods
,
tissue clearing
,
Zea mays - microbiology
Weiterführende Literatur
Empfehlungen zum selben Thema automatisch vorgeschlagen von
bX