| Paper: | WP-P2.4 |
| Session: | Biomedical Imaging V: Molecular & Cellular Bioimaging / Segmentation |
| Time: | Wednesday, September 19, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
CA2+ SPARKS DETECTION AND CLASSIFICATION USING GAUSSIAN-MEXICAN HAT WAVELET |
| Authors: |
Zhi Zhou; Indiana University-Purdue University Indianapolis | | |
| | Yingzi Du; Indiana University-Purdue University Indianapolis | | |
| | Gerorge Rodney; University of Maryland School of Medicine | | |
| | Martin Schneider; University of Maryland School of Medicine | | |
| Abstract: |
It is evidenced that Ca2+ plays a critical role in cell activities. Understanding and analysis of a Ca2+ sparks event can provide critical information in cell communications. It is known that a Ca2+ spark spatial spread in a local area can be modeled by a Gaussian distribution. There are some available methods in Ca2+ spark detection, but little research has been done to quantitatively analyze and classify the Ca2+ sparks into single or multiple release events. In this paper, a new method based on Gaussian-Mexican Hat Wavelet is proposed to automatically classify Ca2+ sparks into single release events or multiple releases events. Then Ca2+ sparks from single release events are further categorized into different energy levels. The experiment results using mouse skeletal muscle fiber cells show this method is promising. |
