Quantification of Type III Collagen Deposition Density from Photomicrograph of Vaginal Connective Tissue

Abstract

Visualization has always aided clinical trial diagnoses. The majority of observations are, unfortunately, performed manually. Repeatability, samples, and effort are necessary for quantitative research. More samples complicate the process. A density study of type III collagen deposition was manually performed on 105 samples using ImageJ on photomicrographs by adjusting the deposition color in a binary image. Manually examining photomicrographs for collagen fiber density is time-consuming and tiring. This study automatically quantifies the type III collagen deposition density using CellProfiler, which does not require skill in observing large samples and complex research obj ects, thus enabling a less time-consuming technique. This study equalizes illumination and reduces photomicrograph noise to help identify cells. The line and tubeness features are improved to enhance the pixel intensity and collagen fiber structure. CellProfiler processed 105 photos in eight minutes, 57 seconds, or 5,1 seconds each. ImageJ required 114 seconds per photomicrograph or 129,5 minutes total (depending on the accuracy of the researchers). CellProfiler accelerated image processing by 14,5 times. Comparing the calculations of CellProfiler and ImageJ using linear regression yielded R2 = 0,7786, indicating a strong relationship. In addition, it produced the equation y = 0.9548x + 1.2197, indicating a positive correlation. This strong relationship and positive correlation suggested that CellProfiler's automatic quantification could assist researchers in measuring complex cells like collagen fiber structure in a less time-consuming technique.