Computational analysis of mitochondrial placement and aggregation effects on wide-angle cell scattering patterns

摘要

Image analysis and pattern recognition are key elements of many biomedical analysis schemes. In this work, we show the use of pattern recognition and classification for the study of an interesting biomedical problem-the prediction of organelle arrangement within a cell based on wide-angle light scattering patterns. Organelle distribution is known to relate to disease and drug resistance. However, up until this point it has been unclear how changes to organelle distribution relate to the composition of wide-angle light scattering patterns. As such, we use a rapid new scattering simulation method and standard pattern analysis techniques to demonstrate clear correlations between scattering pattern composition and organelle distribution. The texture of scattering images—specifically the spot and edge content of samples—is found to directly relate to the type and size of organelle distributions within a cell. These relationships are used to quickly classify organelle distributions to a high degree of accuracy.