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
LEADER 02907nam a22005055i 4500
001 978-3-319-28549-8
003 DE-He213
005 20160520163048.0
007 cr nn 008mamaa
008 160520s2016 gw | s |||| 0|eng d
020 |a 9783319285498  |9 978-3-319-28549-8 
024 7 |a 10.1007/978-3-319-28549-8  |2 doi 
040 |d GrThAP 
050 4 |a QH573-671 
072 7 |a PSF  |2 bicssc 
072 7 |a SCI049000  |2 bisacsh 
082 0 4 |a 571.6  |2 23 
245 1 0 |a Focus on Bio-Image Informatics  |h [electronic resource] /  |c edited by Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a X, 272 p. 85 illus., 81 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advances in Anatomy, Embryology and Cell Biology,  |x 0301-5556 ;  |v 219 
505 0 |a 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. 
520 |a 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. 
650 0 |a Life sciences. 
650 0 |a Biotechnology. 
650 0 |a Bioinformatics. 
650 0 |a Cell biology. 
650 1 4 |a Life Sciences. 
650 2 4 |a Cell Biology. 
650 2 4 |a Bioinformatics. 
650 2 4 |a Biotechnology. 
700 1 |a De Vos, Winnok H.  |e editor. 
700 1 |a Munck, Sebastian.  |e editor. 
700 1 |a Timmermans, Jean-Pierre.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319285474 
830 0 |a Advances in Anatomy, Embryology and Cell Biology,  |x 0301-5556 ;  |v 219 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-28549-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-SME 
950 |a Medicine (Springer-11650)