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Course Detail

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

Syllabus

Unit 1

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

Unit 2

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

Unit 3

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

Unit 4

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 and Outcomes

Course Objectives:

  • To differentiate the various working principles of optical imaging systems
  • To outline the various applications of biosensors in medicine
  • To analyse the working principle of flow cytometer
  • To describe the importance of photodynamic therapy in treatment of diseases
  • To explain about Bionanophotonics and other advance topics

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

References

  1. Prasad P. N, Introduction to Biophotonics. Germany: Wiley, 2014.
  2. Biophotonics for Medical Applications, Netherlands: Elsevier Science, 2015.
  3. Prasad P. N, Nanophotonics. Germany: Wiley, 2004.
  4. G. Keiser, Biophotonics: Concepts to Applications. Singapore: Springer Singapore, 2018.

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