Image from Google Jackets
Image from OpenLibrary

Bioimage Data Analysis Workflows

Contributor(s): Material type: TextTextPublication details: Cham Springer Nature 2020Description: 1 electronic resource (170 p.)ISBN:
  • 978-3-030-22386-1
Subject(s): Online resources: Summary: This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.
List(s) this item appears in: E-Books from Directory of Open Access Books
Tags from this library: No tags from this library for this title.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode
E-Book E-Book Directory of Open Access Books Not For Loan

Open Access

This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.

Creative Commons

There are no comments on this title.

to post a comment.

University of Rizal System
Email us at univlibservices@urs.edu.ph

Visit our Website www.urs.edu.ph/library

Powered by Koha