PhD & MS programs > Medical Biophysics: Biomolecular Imaging > Ph.D. Minor in Biomolecular Imaging > Introduction to Biomolecular Imaging

Introduction to Biomolecular Imaging, F592

Course Description

The IUPUI campus has strengths in a wide variety of imaging sciences, and this course is dedicated to introducing these key concepts and capabilities to graduate students. The goal of the course is to introduce key concepts that carry through all imaging modalities, and provide examples of how these concepts of modern imaging apply in the real world at the level of cellular and molecular imaging. The course will include a survey of the principles and application of modern imaging methods. The course will be team taught by a group of faculty from diverse departments within the IUPUI campus. Tom Hurley is the course director

Prerequisites

Undergraduate level calculus, physics, organic and inorganic chemistry or permission of the instructor. Designed as a fall course for first year graduate students.

Course Instructors

Instructor Department
Berbari Engineering
Dunn Nephrology
Fang Computer & Information Science
Gattone Anatomy & Cell Biology
Hurley Biochemistry & Molecular Biology
Naumann Chemistry
Pavalko Physiology
Tuceryan Computer & Information Science
Yokota Biomedical Engineering and Anatomy & Cell Biology

 

Required and Recommended Texts

No textbook will be required for this course.

Evaluation and Grading

Two week-long take-home exams will be given. Final exam is non-cumulative. Grades weighted by number of lectures covered in each exam. Final grading will be on an A,B,C scale.

Syllabus

Lecture Topics  
Introduction: Imaging biological processes
  Why imaging?  
  Every atom as a potential reporter  
Signal generation and detection
  Light: sources and interactions  
  Light detection: devices and limits  
  Molecular forces  
  Example of molecular forces: Cell Adhesion  
  Molecular force detection  
  Review session & hand out mid-term exam  
  Mid-Term Take Home Exam  
  Magnetism  
  X-Ray  
  Electrons:  
Building an image
  Introduction: from zero to 4 dimensions  
  Digital Signal Processing  
  Generating Images  
Two & three dimensional digital image analysis
  Computational basis for visualization  
  Protein Crystal Structure  
  Computational basis for quantification  
  Image deconvolution:  
  Data management  
  Review session and hand out final  
  Final Take Home Exam  

 


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