1. FiberFit:
portable Python application
By Aza Tulepbergenov
Northwest Tissue Mechanics Laboratory
Boise State University,
Summer 2015 – Fall 2015
https://coen.boisestate.edu/ntm/fiberfit/

2. What it does?
• The mechanical properties of tissues in the body largely depend
on the underlying fibrillar network
• Fibrillar network can be described in terms of fiber orientation
distribution
• FiberFit quantifies fiber orientation distribution, thus allowing
researchers to gain deeper insights into tissue modeling and
injury repair
Fig. 1: Settings Window

3. Program Features (1)
• Python application that uses computer
vision to analyze fiber orientation in 2-D
grayscale images
• Utilizes NumPy and SciPy libraries* to
perform image analysis
• User Interface was built using Qt 5
bindings for Python
Fig. 2: FiberFit UI

4. Program Features (2)
• Processes multiple images
• Exports result of the analysis in PDF (utilizes open-source Python library) and csv
• Live progress bar, which updates user about status of the image analysis (utilizes
threading)
• Runs on Windows and Mac OS X without installing additional software
• Free to download at https://coen.boisestate.edu/ntm/fiberfit/

5. Used Technologies
• pyPDF2
• SciPy
• NumPy
• pandas
• Python standard libraries (os, time, sys)
• PyQt5
• cx_Freeze
• threading
• otool
• git

6. Reflection
• 2nd author of a research paper (currently under review)
• 1st author of a scientific manuscript for a research conference (currently under
review)
• Joined the project during summer of my freshman year
• Practiced agile development by constantly modifying the application based on
feedback from a graduate student and lab director
• Solved unfamiliar problems (i.e. relinking binaries in Mac OS X)