Cell shape characterization and classification with discrete Fourier transforms and self‐organizing maps

Cells in their natural environment often exhibit complex kinetic behavior and radical adjustments of their shapes. This enables them to accommodate to short‐ and long‐term changes in their surroundings under physiological and pathological conditions. Intravital multi‐photon microscopy is a powerful...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Cytometry. Part A 2018-03, Vol.93 (3), p.323-333
Hauptverfasser:	Kriegel, Fabian L., Köhler, Ralf, Bayat‐Sarmadi, Jannike, Bayerl, Simon, Hauser, Anja E., Niesner, Raluca, Luch, Andreas, Cseresnyes, Zoltan
Format:	Artikel
Sprache:	eng
Schlagworte:	2‐photon microscopy Algorithms Animals artificial intelligence Cell Line, Tumor Cell Movement - physiology Cell Shape Cell size Classification Clustering Cytometry Fourier Analysis Fourier transform Fourier transforms Image Processing, Computer-Assisted - methods imaging Imaging, Three-Dimensional - methods immunology Intestines - cytology Intravital Microscopy - methods Kinetics Mice Microscopy Microscopy, Fluorescence, Multiphoton - methods Myeloid Cells - cytology Parameters Pattern Recognition, Automated - methods Self‐Organizing Maps shape analysis Tracking
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!