This image won the prize for Best Scientific Image at the 8th International PhD Conference in Medical Imaging 2016:
Inspired by Vincent van Gogh’s signature bold, sweeping brush strokes, this contemporary piece evokes a meteor shower back-dropped by the majestic Milky Way stretching across the midnight sky.
It is a false-color image of a human breast cancer tissue section in which blood vessel walls and proliferating (growing/replicating) cells were labeled using immunohistochemistry. A digital image of the tissue section was acquired with a microscope. Then, a computer algorithm was used to segment the image into different classes or types of cellular and tissue components. Each color represents a different class (e.g., orange = blood vessel and yellow = proliferating cell).
The digital image of the human breast cancer tissue section was acquired at 40x with an Olympus VS120 slide scanner. K-means clustering was performed in MATLAB to segment the image into the different classes. This was part of a larger algorithm to automate the tedious task of counting proliferating blood vessels.