Melissa Gillis Segmenting fibers using traditional cell segmentation software can be challenging. Because most biological cell segmentation tools were designed for cells, most programs have difficulty identifying and distinguishing longer and thinner objects such as fibers. Also, unlike cells...
Melissa Gillis In the first part of this blogpost I described some of the tools I tried to accurately segment collagen IV fibers including, CellProfiler, Cellpose, and Piximi. Unfortunately none of these methods were successful in accurately segmenting the fibers so I decided to develop a machine...
Current COBA Driving Biological Projects are listed below. Interested in becoming one of our Driving Biological Project partners? See our page on how to our collaborate with us or fill out our Project Inquiry form. Principal Investigator Institution Project Description Robert Edwards University of...
Melissa Gillis In the previous two sections of this blogpost I explained how I analyzed multiple methods to segment fluorescent images of collagen IV fibers, and generated accurate segmentation using an ilastik machine learning model. In this section I will explain how I constructed a CellProfiler...
Melissa Gillis In the final section of this blogpost series, I will discuss some of the benefits and drawbacks of this model and discuss some of the data I acquired from the images. This model was able to successfully segment the images that were not able to be accurately segmented by Pearl’s...