Introduction

Author:

Sladoje Nataša,Miura Kota

Abstract

AbstractBioimage analysis is often regarded as a technical task that can be solved simply by the development of new and more sophisticated image processing algorithms. This may be true to a large extent, but the complexity encountered in the actual usage of those algorithms during the analysis leads to a number of challenges that leave researchers with a thought that “Bioimage analysis is difficult”.

Publisher

Springer International Publishing

Reference6 articles.

1. Monzel C and Möhl C (2016) Introduction to MATLAB. In: ‘Bioimage Data Analysis. Wiley-VCH, Weinheim, pp 63–97. https://analyticalscience.wiley.com/do/10.1002/was.00050003

2. Miura K (2016a) ImageJ Macro Language In: Miura K (ed) Biomage data analysis. Wiley-VCH, pp 19–62. https://analyticalscience.wiley.com/do/10.1002/was.00050003

3. Miura K (ed) (2016b) Bioimage data analysis. Wiley-VCH, Weinheim. https://analyticalscience.wiley.com/do/10.1002/was.00050003

4. Miura K, Paul-Gilloteaux P, Tosi S, Colombelli J (2020) Workflows and Components of bioimage analysis. In: Miura K, Sladoje N (eds) Bioimage data analysis workflows. Learning materials in biosciences. Springer International Publishing, Cham, pp 1–7. https://doi.org/10.1007/978-3-030-22386-1_1

5. Miura K, Sladoje N (eds) (2020) Bioimage data analysis workflows. Learning materials in biosciences, Springer. OCLC: 1127266601. https://doi.org/10.1007/978-3-030-22386-1

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