deletions | additions       diff --git a/Abstract.md b/Abstract.md  index 50f6407..1cb0d5b 100644  --- a/Abstract.md  +++ b/Abstract.md 
...
Here we present a novel method for performing per-pixel denoising of confocal frame- and linescans. Our algorithm permits the extraction of spatiotemporally overlapping events (e.g., a Ca2+ spark occurring during the decaying phase of a Ca2+ wave) and is able to detect various different types of events within a pixel time course. The method estimates a non-constant baseline for each pixel, negating the necessity of using background regions or self-ratio methods prior to performing the analysis. Furthermore, by applying a clustering algorithm, detected single-pixel events are grouped into physiologically relevant events spanning multiple pixels (sparks, waves, puffs,transients, etc.), from which traditional parameters such as FDHM, FWHM, amplitude, wave speed, rise and decay times, can be easily extracted.  The method has been implemented as a cross-platform open source software with a comprehensive and easy to use graphical user interface. We have applied our method to analyzing linescans of repetitive Ca2+ sparksin ventricular cardiomyocytes  from individual RyR clusters; clusters in isolated ventricular cardiomyocytes;  high-speed (150 frames/sec) framescans containing alterations in Ca2+ release events in atrial myocytes; and parallel analysis of Ca2+ release dynamics in the sarcoplasmic reticulum and cytosol.