Microscopic Approaches and Image Analysis in Biomedicine and Microtechnologies (BIOIMAGE)
| Charles University | |
Basic information | |
| Microscopic Approaches and Image Analysis in Biomedicine and Microtechnologies | |
| Variant code (CID): | 10367 |
| course in preparation | |
| Orientation: | microcredentials |
| Faculty: | Faculty of Science |
Basic information | |
| English | |
| Bioimage analysis workshop | |
| Microscopic Approaches and Image Analysis in Biomedicine and Microtechnologies is a 5 days long, hands-on course that aims to teach participants how to extract valuable insights from their microscopy images and analyze and visualize them. It is designed as an interactive learning experience where participants can collaborate, discuss, and develop their BioImage analysis workflows with guidance from experts in the field with access to specially developed learning materials. Day 1 focuses on a basic understanding of microscopy, image acquisition, computer graphics theory, and bioimage analysis. Days 2 and 3 are devoted to hands-on sessions using the open-source tool ImageJ and the proprietary software Vision4D. Day 4 focuses on the reproducibility of bioimage analysis and the preparation of images for presentation and publication purposes. The final day (day 5) will be an examination in the form of a collaborative project and presentation. By the end of the workshop, participants will have the skills necessary to effectively analyze, visualize, and interpret their bioimage data. |
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| second week of February in st. room 311 expected next course date - August 2024 |
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| The student is able to complete the course in AJ and successfully complete the online preparatory part. | |
| At the end of the course, students will verify their acquired knowledge by independently solving selected experimental questions. Knowledge: list and describe key concepts in bioimage analysis, including image acquisition, processing, analysis and ethics. explain how to perform basic image processing operations, such as filtering and segmentation. analyze and interpret quantitative data obtained from bioimage analysis. Skills: design, plan and implement image analysis workflows for their own research projects. apply various image processing and analysis techniques to different types of biological data. use relevant software tools for image analysis Competence: Students will be able to apply their knowledge and skills in the context of their own research projects. identify and solve problems related to bioimage analysis, communicate findings and results effectively to both scientific and non-scientific audiences. critically evaluate the quality and reliability of image analysis data and results. |
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Schedule details | |
Further detailed information | |
| Mgr. Zuzana Burdíková, Ph.D. Mgr. Judith Garcia Gonzalez Ing. Martin Schätz, Ph.D. RNDr. Jakub Soukup, Ph.D. |
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Basic information | |
Basic information | |
Accreditation | |
Accreditation | |
| 2 (2 kredity) | |
Date and venue of the course | |
| 30 (total number of hours) | |
| 2x15 hod. | |
| 1 | |
| Biology (0511) | |
Accreditation | |
| prezentace projektu | |
| Certification: | Osvědčení o absolvování programu |
| Level 4 | |
| 5.2.2024 | |
| 23.9.2024 | |
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Date and venue of the course | |
| 05.02.2024 | |
| 9.2.2024 | |
Date and venue of the course | |
| 2023/2024 | |
| winter semester | |
Further detailed information | |
| Viničná 7, Praha 2 | |
Further detailed information | |
| Mgr. Zuzana Burdíková, Ph.D. | |
Basic information | |
| 15 | |
Information for applicants | |
| 1000 Kč / kurz | |
Enrolment information | |
| 01.10.2023 | |
| 31.01.2024 | |
| Mgr. Zuzana Burdíková, Ph.D. | |
| zuzana.burdikova@natur.cuni.cz | |
| 420 221 951 9 | |
Enrolment information | |
| VMCF | |
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Enrolment information | |
Enrolment information | |
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