| Course Name | Biophotonics |
| Course Code | 24AIM434 |
| Program | B.Tech. in Artificial Intelligence (AI) and Data Science (DS) in Medical Engineering |
| Semester | VI |
| Credits | 3 |
| Campus | Coimbatore |
Introduction Biophotonics – A new frontier; Fundamentals of Light and Matter – Nature of Light, Quantized States of Matter, Intermolecular Effects, Three Dimensional Structures and Stereoisomers; Basics of Biology; Fundamentals of Light-Matter Interactions
Bioimaging Principles of Lasers, Current Laser Technology and Nonlinear Optics – Quantitative Description of Light: Radiometry, Time-Resolved Studies, Laser Safety; Photobiology – Photo processes in Biopolymers, In Vivo Photo execution, In Vivo Spectroscopy, Optical Biopsy, Single-Molecule Detection; Principles and Techniques of Bioimaging – Transmission and other Microscopy, Optical Coherence Tomography, Spectral and Time Resolved Imaging and other related Imaging; Applications
Biosensors, Flow Cytometry and Photodynamic Therapy Introduction to Biosensors, Principles of Biosensing, Different Biosensors; Microarray Technology for Genomics and Proteomics – DNA, Protein, Cell, Tissue Microarray Technology; Basics of Flow Cytometry, Commercial Flow Cytometry; Basic Principles of Photodynamic Therapy, Photosensitisers, Current Research and Future Directions
Emerging Areas and Case Study. Bionanophotonics and Array Technologies, Optical Diagnostics and Targeted Therapy, Laser Scissors, Super Resolution Microscopy Techniques (STED, STORM, PALM), Ultrasound-mediated Biophotonics Imaging, A Case Study on Deep Learning for Biophotonics, A Case Study on Biophotonics to Occupy Crucial Role in Clinical Assessment of Cancers.
Course Objectives:
Course Outcomes:
After completing this course, students should be able to
CO1: Integrate their understanding of biophotonics with fundamental principles of light and matter, demonstrating a profound comprehension of the interdisciplinary nature of this field.
CO2: Apply advanced laser technology and nonlinear optics in the context of biophotonics, including the quantitative description of light, radiometry, time-resolved studies, and laser safety protocols.
CO3: Demonstrate principles and techniques of bioimaging, encompassing various microscopy methods, optical coherence tomography, spectral and time-resolved imaging, and related technologies for applications in the biomedical domain.
CO4: Demonstrate expertise in the application of biosensors, flow cytometry, and photodynamic therapy, with a nuanced understanding of microarray technology for genomics and proteomics, basic principles of flow cytometry, and the fundamental aspects of photodynamic therapy.
CO5: Gain insights into emerging areas such as bionanophotonics, array technologies, optical diagnostics, targeted therapy, super-resolution microscopy techniques, ultrasound-mediated biophotonics imaging, and the application of deep learning in biophotonics through relevant case studies.
CO-PO Mapping
| PO/P
SO |
PO1 | PO2 | PO3 | PO4 | PO5 | PO 6 | PO7 | PO8 | PO 9 | PO 10 | PO 11 | PO 12 | PSO 1 | PSO2 | PSO3 |
| CO | |||||||||||||||
| CO1 | 3 | – | – | – | – | – | – | – | 2 | 2 | – | 2 | 1 | 2 | – |
| CO2 | – | 1 | 2 | 1 | – | 2 | – | – | 2 | 2 | – | 2 | 2 | 2 | 1 |
| CO3 | – | 1 | 3 | 3 | – | – | – | – | 2 | 2 | – | 2 | 2 | 2 | – |
| CO4 | – | 1 | 2 | – | – | – | 1 | 1 | 2 | 2 | – | 2 | 2 | 1 | – |
| CO5 | – | – | – | – | – | 2 | 3 | 2 | 2 | – | 2 | 2 | – | – |
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