Focus on bio-image informatics
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: Applic...
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| Other Authors: | , , |
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| Format: | Book/Monograph |
| Language: | English |
| Published: |
Cham s.l.
Springer International Publishing
2016
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| Series: | Advances in anatomy, embryology and cell biology
219 |
| In: |
Advances in anatomy, embryology and cell biology (219)
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| Volumes / Articles: | Show Volumes / Articles. |
| DOI: | 10.1007/978-3-319-28549-8 |
| Subjects: | |
| Online Access: | lizenzpflichtig lizenzpflichtig Cover 
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| Author Notes: | edited by Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans |
| Summary: | 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. 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 directions and provides an excellent reference work for both young and experienced researchers. |
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| Item Description: | Gesehen am 03.06.2020 |
| Physical Description: | Online Resource |
| ISBN: | 9783319285498 |
| DOI: | 10.1007/978-3-319-28549-8 |