Who Should Attend
Postgraduate students (Master and PhD students), Post Doctorate, Academicians and Researchers (Government and non-government institution)
Fees
Type |
Price |
INBIOSIS Member |
Free |
Non INBIOSIS Member |
RM 50 |
Workshop Highlights
-
Provide exposure and basic understanding of the concepts and functions of ImageJ software in scientific image analysis.
-
Improve participants' practical skills in processing, measuring and interpreting image data systematically and in a standardized manner.
-
Provide basic understanding of Machine Learning concepts and their applications in biological and medical data analysis.
-
Train participants in using MetaboAnalyst software for the purpose of metabolomic data analysis and biomarker identification.
-
Improve participants' ability to interpret data analysis results scientifically and with integrity.
-
Support the improvement of research quality, technical report writing and scientific publications.
Our Speaker
-
Dr. Kang-Mo Ku is an Associate Professor in the Department of Plant Biotechnology at Korea University. He received his Ph.D. in Crop Sciences from the University of Illinois at Urbana-Champaign in 2013, following an M.S. and B.S. in Horticulture and Agricultural Science, respectively, from Kyungpook National University in South Korea. Dr. Ku’s research focuses on improving the quality, safety, and health promoting properties of horticultural crops through metabolomics, postharvest physiology, and controlled cultivation systems. He has over 90 peer-reviewed publications in leading journals such as Postharvest Biology and Technology, Food Chemistry, and Journal of Agricultural and Food Chemistry. His work integrates advanced omics tools—including LC-MS, GC-MS, and multivariate analysis—to understand biochemical changes in crops under pre- and postharvest conditions. He began his academic career as a postdoctoral associate at the University of Illinois, where he investigated glucosinolate biosynthesis in broccoli and other Brassica vegetables. He then held faculty positions at West Virginia University and Chonnam National University before joining Korea University in 2022. His recent research includes VOC-based freshness prediction, glucosinolate-derived bioactive compound profiling, and the application of agrivoltaics in sustainable crop production. Dr. Ku was awarded the 2025 Minister’s Award from the Ministry of Science and ICT and was selected among the “2024 Korea’s Top 100 National R&D Achievements.” He also serves as an associate editor for Frontiers in Plant Science and the Korean Journal of Plant Resources, and as a board member of the Korean Society for Horticultural Science. Through international collaborations, education programs, and industrial partnerships, Dr. Ku aims to bridge fundamental plant science with practical applications in agriculture, food, and health sectors. Currently, he is appointed as the Visiting Associate Professor in INBIOSIS.
Programme
3rd February 2026 (Tuesday)
Morning Session - ImageJ
| Time | Activity | Trainer |
| 8.45 am | Registration | |
| 9.00 am | Opening speech | Prof. Dr. Syarul Nataqain Baharum [Director of INBIOSIS] |
| 9.15 am | Introduction to ImageJ and Its Tools • Overview of ImageJ • Examples of applications in research • Introduction to basic tools and functions |
Assoc. Prof. Dr. Ku Kang Mo |
| 9.30 am | Length Measurement & Adding Scale Bar (Low difficulty) • Length measurement techniques • Setting image scale • Preparing publication-ready figures (scale bar) |
Assoc. Prof. Dr. Ku Kang Mo |
| 9.55 am | Area Measurement (Low–Medium difficulty) • Length and area measurement • Area selection using color threshold |
Assoc. Prof. Dr. Ku Kang Mo |
| 10.20 am | Morning Break | |
| 10.35 am | Band Intensity Measurement (Medium difficulty) • Image conversion to 8-bit • Background subtraction • Integrated density measurement |
Assoc. Prof. Dr. Ku Kang Mo |
| 11.05 am | Particle Analysis (High difficulty) • Threshold selection • Analyze Particles function • Object counting and size distribution |
Assoc. Prof. Dr. Ku Kang Mo |
| 11.30 am | Batch Processing Rules (Medium difficulty) • Batch processing workflow • Introduction to basic macro concepts (no coding required) |
Assoc. Prof. Dr. Ku Kang Mo |
| 11.50 am | Installing ImageJ Plugins (Medium difficulty) • Plugin installation steps • Demonstration of selected plugins |
Assoc. Prof. Dr. Ku Kang Mo |
| 12.10 pm | Q&A and Discussion (ImageJ Session) | Assoc. Prof. Dr. Ku Kang Mo |
| 12.30 pm | Lunch Break |
3rd February 2026 (Tuesday)
Evening Session - Machine Learning Basics & Biomarker Analysis Using MetaboAnalyst
| Time | Activity | Trainer |
| 2.30 pm | Introduction & Pre-work Recap • Concept of machine learning and biomarker discovery • Overview of pre-work (YouTube video clips) |
Assoc. Prof. Dr. Ku Kang Mo |
| 2.50 pm | Machine Learning Fundamentals • Statistics vs machine learning • Basic ML terms: feature, label, overfitting |
Assoc. Prof. Dr. Ku Kang Mo |
| 3.10 pm | MetaboAnalyst Overview • Data format • Normalization and scaling • Analysis workflow |
Assoc. Prof. Dr. Ku Kang Mo |
| 3.30 pm | Evening Break | |
| 3.45 pm | Hands-on Data Analysis • Practical analysis using MetaboAnalyst • Result visualization and interpretation |
Assoc. Prof. Dr. Ku Kang Mo |
| 4.30 pm | Interpretation & Biomarker Selection Strategy • Biomarker selection logic • Research interpretation strategy |
Assoc. Prof. Dr. Ku Kang Mo |
| 5.00 pm | Discussion and end of session | |
Centre of Omics Data Analysis (CODA)
Unlock the full potential of your omics data with the Centre of Omics Data Analysis (CODA) at INBIOSIS UKM! Our one-stop centre offers data analysis service in :
-
Genomics, Transcriptomics, Metagenomics
-
Metabolomics
-
Proteomics
-
Bioinformatics