| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10926385 | Cell Calcium | 2010 | 5 Pages |
Abstract
We have developed a MATLAB-based image segmentation algorithm that reliably detects individual cells in dense populations and measures their fluorescence intensity over time. To demonstrate the value of this algorithm, we measured store-operated calcium entry (SOCE) in hundreds of individual cells. Rapid access to single-cell calcium signals in large populations allowed us to precisely determine the relationship between SOCE activity and STIM1 levels, a key component of SOCE. Our image processing tool can in principle be applied to a wide range of live-cell imaging modalities and cell-based drug screening platforms.
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Authors
Loo Chin Wong, Bo Lu, Kia Wee Tan, Marc Fivaz,