Carcinoma cell identification via optical microscopy and shape feature analysis

Carcinoma cell identification via optical microscopy and shape feature analysis

Optical microscopy is commonly used for cancer cell detection. Focusing on carcinoma cell identification via optical microscopy, a proof-of-concept study was performed at Laboratory of Design, Optimization and Modeling (LCOMS) to determine the grade of cancer cells. This paper focuses on three types of abnormal cells; namely, Benign Hyperplasia (BH), Intraepithelial Neoplasia (IN), which is a p...

Optical Music Recognition: Feature Identification

Detection of Abnormal Events via Optical Flow Feature Analysis

In this paper, a novel algorithm is proposed to detect abnormal events in video streams. The algorithm is based on the histogram of the optical flow orientation descriptor and the classification method. The details of the histogram of the optical flow orientation descriptor are illustrated for describing movement information of the global video frame or foreground frame. By combining one-class ...

Rab11 is required for maintenance of cell shape via βPS integrin mediated cell adhesion in Drosophila

In eukaryotes, vesicle trafficking is regulated by the small monomeric GTPases of the Rab protein family. Rab11, (a subfamily of the Ypt/Rab gene family) an evolutionarily conserved, ubiquitously expressed subfamily of small monomeric Rab GTPases, has been implicated in regulating vesicular trafficking through the recycling of endosomal compartment. In an earlier communication, we have shown th...

Shape Analogies via Group Shape Difference Analysis

In this project, we proposed a novel framework to solve the shape analogies problem between 3D shape collections. Instead of using geometric features based on individuals to describe each shape, we leveraged the idea that fine grained characteristic of a shape can be defined by other similar shapes, and used relationship within collections to depict shapes. To capture the abstract relationship,...