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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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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.