Measuring Fat and Vacuolar Space with Digital Pathology. Frank Voelker, DVM, DACVP Principle Pathologist. Trevor Johnson, MS Director, Image Analysis. Originally An Algorithm for Measuring Fat. What was actually needed: An algorithm for measuring circumscribed clear spaces in tissue.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Frank Voelker, DVM, DACVP
Trevor Johnson, MS
Director, Image Analysis
What was actually needed: An algorithm for measuring circumscribed clear spaces in tissue
Input and Output Windows
Define the tissue intensity
Determine the maximum and minimum vacuole areas
Determine how close each vacuole is allowed to resemble a circle and how tightly they are packed
Determine if Vacuole Perimeter Estimation (VPM) is needed
Area/No. Nuclei = Cell Size
No. Nuclei/No. Fat Droplets = No. Droplets/Cell
Type 1- Red Muscle. Slow twitch postural type muscle fiber. Aerobic oxidation.
Type 2- White Muscle Fast twitch fibers. ATPase +. Anaerobic oxidation
Muscle fiber alterations are important in:
In H&E sections, skeletal muscle fibers are poorly demarcated
An algorithm designed to measure vacuoles or circumscribed clear spaces in tissue was described in this presentation. The algorithm has proved useful in measuring clear spaces in a variety of tissues including white and brown fat, skeletal muscle fibers, pulmonary alveoli, fatty liver and adrenal cortex. Data outputs included percent as well as histograms and mean areas, diameters or perimeters of vacuoles or clear areas within tissue.