Dr. Sambeeta Das - Assistant Professor of Mechanical Engineering

• Max Sokolich - PhD Candidate - Mechanical Engineering
• SMT Lab

→ Biomechanical Engineering

• → Robotics & Controls
• → Nanotechnology
• → Micro robotic locomotion for applications In Vivo and In Vitro

Efficiently track microbots in 2 dimensions & implement z-axis tracking.

• Library: The GUI is made using Tkinter, a python library, that has tools to make an interface

• Functionality: 1) Upload a prerecorded video 2) Instantaneously start the live video feed 3) Record and download a video 4) Alters the live camera parameters 5) Alters the control parameters of the feed

Goal: Providing the client with control of different parameters and adding an option to change the contrast of the video to aid the tracker in “finding” the blurred microbot as they move on the z-axis.

To quantify distance in the z-axis, we chose to measure the “blur” of a microbot to represent its distance from the microscope lens.

We improved the existing contour-tracking preprocessing pipeline by adjusting it based on blur. This “dynamic” pipeline allowed us to accomplish two goals:

• 1) Measure the blur of a cropped microbot image to quantify distance
• 2) Modify the contour preprocessing based on a microbot’s blurriness to improve out-of-focus tracking