ABSTRACT
ABSTRACT Advances in computational cell phenotyping are enabling scientists to characterize and transform biological systems in the lab, industrial plant, and clinical setting with unprecedented quantitative precision. Coupled to broad advances in computational bioengineering, the rise of image analysis and development of new big data technologies are pushing the bounds of biological understanding by allowing for predictive assessments of
CONTENTS
11.1 Cell Phenotyping: A Brief Denition .............................................................................. 266 11.1.1 Experimental Processing and Imaging .............................................................. 266 11.1.2 Segmentation and Automated Feature Measurements .................................... 268 11.1.3 Classication of Cell Phenotypes ........................................................................ 268
11.2 Computational Cell Phenotyping in the Laboratory .................................................... 269 11.2.1 Image Processing ................................................................................................... 269 11.2.2 Data Analysis ......................................................................................................... 272 11.2.3 Predictive Simulation ............................................................................................ 273 11.2.4 Current Limitations ............................................................................................... 275 11.2.5 Case Study .............................................................................................................. 275
11.3 Computational Cell Phenotyping in Industry .............................................................. 276 11.3.1 Cellular Phenotyping in Industrial High Content Analysis ...........................277 11.3.2 Details of Cellular Phenotyping .......................................................................... 279 11.3.3 Recent Advances in Technology ..........................................................................280 11.3.4 Current Limitations ............................................................................................... 281 11.3.5 Case Study .............................................................................................................. 282 11.3.6 Summary ................................................................................................................. 282
11.4 Cell Phenotyping in the Clinic ........................................................................................283 11.4.1 Basics of Digital Pathology ...................................................................................283 11.4.2 Recent Advances in Digital Pathology ...............................................................284
