Dr. Kota Miura is a Freelance Bioimage Analyst and works with various research groups and companies in Europe, for teaching, consulting, and collaborations. He also is affiliated with the Nikon Imaging Center at the University of Heidelberg and is the Vice-Chair of NEUBIAS (the Network of European Bioimage Analysts).

Nataša SladojeisProfessor in Computerized Image Processing at the Centre for Image Analysis, Department of Information Technology, Uppsala University, Sweden. She is coordinator of a Master's programme in Image Analysis and Machine Learning at Uppsala University and has along experience in education in this field. Her research interests include theoretical development of image analysis methods for robust image processing with high information preservation, robust methods for image comparison and registration, as well as developmentand applications of machine and deep learning methods particularly suitable for biomedical image analysis. She is the founder and leader of MIDA - Methods for Image Data Analysis - research group at Department of Information Technology, Uppsala University, and an active member of NEUBIAS - the European Network of Bioimage Analysis.

This book is open access, which means that you have free and unlimited access

The book explains computational methods in the context of biological questions

Provides real examples and hands-on experience

Gives detailed instructions on how to design and implement bioimage analysis workflow

Builds upon the 1st volume "Bioimage Data Analysis Workflows" in this series

Offers more advanced methods made understandable for a diverse group of users

Meets the needs of this highly interdisciplinary field, which makes the content rather unique

Introduction.- Batch Processing Methods in ImageJ.- Python: Data Handling, Analysis and Plotting.- Building a Bioimage Analysis Workflow Using Deep Learning.- GPU-Accelerating ImageJ Macro Image Processing Workflows Using CLIJ.- How to Do the Deconstruction of Bioimage Analysis Workflows: A Case Study with SurfCut.- i.2.i. with the (Fruit) Fly: Quantifying Position Effect Variegation in Drosophila Melanogaster.- A MATLAB Pipeline for Spatiotemporal Quantification of Monolayer Cell Migration.