RYCHTÁRIKOVÁ, Renata and Tomáš NÁHLÍK. System information approach to digital light microscopy. Vodňany: Jihočeská univerzita v Českých Budějovicích, Fakulta rybářství a ochrany vod, 2023, 123 pp. ISBN 978-80-7514-185-9.
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Basic information
Original name System information approach to digital light microscopy
Name (in English) System information approach to digital light microscopy
Authors RYCHTÁRIKOVÁ, Renata and Tomáš NÁHLÍK.
Edition Vodňany, 123 pp. 2023.
Publisher Jihočeská univerzita v Českých Budějovicích, Fakulta rybářství a ochrany vod
Other information
Type of outcome Book on a specialized topic
Confidentiality degree is not subject to a state or trade secret
Organization unit Institute of Technology and Business in České Budějovice
ISBN 978-80-7514-185-9
Keywords in English System information; approach; digital light microscopy
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tomáš Náhlík, Ph.D., učo 19618. Changed: 6/9/2024 07:20.
Abstract
This textbook (or extended technology sheet) is based on more than ten years of experience of the Institute of Complex Systems (ICS) FFPW USB in light microscopy and digital camera-based measurements. The textbook presents the theoretical and related applied results of the Laboratory of Experimental Complex Systems. The authors published original theoretical findings in several international scientific works from 2013–2021. The authors carried out all presented measurements on custom-made microscopes assembled in cooperation with Czech and Austrian engineering companies: Petr Tax-Optax (Praha) and Synchronics Engineering (Heidenreichstein) helped us build the microscope hardware. Petr Mach´aˇcek-ImageCode (Brloh) is responsible for translating the microscope control software and other relevant data processing software. The textbook contains two main chapters – theoretical and experimental. The goal of this textbook is for students to understand that if they see something under a microscope, it may not be real. The first part of theoretical Chapter 1 is based on Tom´aˇs N´ahl´ık’s dissertation in the field of Biophysics at the Faculty of Science USB (N´ahl´ık, 2016). In this part, students will learn about imaging principles in light microscopy. Some possible optical system aberrations from the point of view of image digitisation are also worth noting. The presented figures arose from the computational application of Extended Nijboer-Zernike models (Braat et al., 2015) and our experimental measurements. In the second part of Chapter 1, we introduce original information entropy methods that we further implemented as software tools for processing and analysing a digital image obtained by light microscopy. Chapter 1 ends by test questions verifying student’s final knowledge.
Abstract (in English)
This textbook (or extended technology sheet) is based on more than ten years of experience of the Institute of Complex Systems (ICS) FFPW USB in light microscopy and digital camera-based measurements. The textbook presents the theoretical and related applied results of the Laboratory of Experimental Complex Systems. The authors published original theoretical findings in several international scientific works from 2013–2021. The authors carried out all presented measurements on custom-made microscopes assembled in cooperation with Czech and Austrian engineering companies: Petr Tax-Optax (Praha) and Synchronics Engineering (Heidenreichstein) helped us build the microscope hardware. Petr Mach´aˇcek-ImageCode (Brloh) is responsible for translating the microscope control software and other relevant data processing software. The textbook contains two main chapters – theoretical and experimental. The goal of this textbook is for students to understand that if they see something under a microscope, it may not be real. The first part of theoretical Chapter 1 is based on Tom´aˇs N´ahl´ık’s dissertation in the field of Biophysics at the Faculty of Science USB (N´ahl´ık, 2016). In this part, students will learn about imaging principles in light microscopy. Some possible optical system aberrations from the point of view of image digitisation are also worth noting. The presented figures arose from the computational application of Extended Nijboer-Zernike models (Braat et al., 2015) and our experimental measurements. In the second part of Chapter 1, we introduce original information entropy methods that we further implemented as software tools for processing and analysing a digital image obtained by light microscopy. Chapter 1 ends by test questions verifying student’s final knowledge.
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