Focus on Bio-Image Informatics

This volume of Advances Anatomy Embryology and Cell Biology focuses on the emerging field of bio-image informatics, presenting novel and exciting ways of handling and interpreting large image data sets. A collection of focused reviews written by key players in the field highlights the major directio...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: De Vos, Winnok H. (Επιμελητής έκδοσης), Munck, Sebastian (Επιμελητής έκδοσης), Timmermans, Jean-Pierre (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Advances in Anatomy, Embryology and Cell Biology, 219
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Seeing is believing – quantifying is convincing: Computational image analysis in biology
  • Image degradation in microscopic images: Avoidance, artifacts and solutions
  • Transforms and operators for directional bioimage analysis: A survey
  • Analyzing protein clusters on the plasma membrane: Application of spatial statistical analysis methods on super-resolution microscopy images
  • Image informatics strategies for deciphering neuronal connectivity
  • Integrated high-content quantification of intracellular ROS levels and mitochondrial morphofunction
  • KNIME for open-source BioImage analysis – A Tutorial
  • Segmenting and tracking multiple dividing targets using ilastik
  • Challenges and benchmarks in BioImage analysis
  • BioImage informatics for big data.