Statistical Analyzation of Interactions between Organophosphates and Giant Phospholipid/Polydiacetylene Vesicles by ImageStream X- Imaging Flow Cytometer

Reut Israeli rtuby49@gmail.com Sofiya Kolusheva Raz Jelinek
Chemistry Department, Ben-Gurion University of the Negev, Beer-Sheva, Israel

Over the following decades, microscope technology has advanced by the development of more powerful and advanced optics that initiated a new era of basic and clinical cytology. Currently, the advanced features available in computerized microscopes have made them powerful tools for visualization and cellular analysis. However, the acquired images cannot simply converted into quantitative scores resulting in a high subjectivity of analysis. Another major limitation of microscopy is the low rate of image acquisition limiting its applicability for analysis of a large number of cells. ImageStream allows analysis of a large number of cells based on their fluorescence features and provides statistical analysis of these features. The advantage of using this system in comparison to fluorescent microscopy is its ability to analyze imagery from a large number of cells acquired in suspension. This provides a unique opportunity for statistical analysis of large populations, but also aids in avoiding artifacts. The analysis of collected data is also quantitative with the ImageStream system when compared with conventional microscopy.[i]

Forming giant vesicular particles comprises by phospholipids and polydiacetylene in a micrometer sizes, similar to cell sizes, allows using the colorimetric and fluorescence properties of polydiacetylene to elucidate the characteristics of chemical compounds- membrane interactions.

This work offers the use of ImageStream to get statistical information on organophosphates - Phospholipid/polydiacetylene interactions and detecting the change in the giant vesicles shape when reacting with organophosphates, the morphological changes occurring and division to populations of vesicles and their features.

[i] Hall B, George T, Basiji D, et al. Automated classification of apoptosis and artifact rejection of TUNEL positive cells. ISAC XXIII. Quebec, Canada; 2006.









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