![]() As a result, the routine utilization of such techniques by biology researchers has accelerated (Kamentsky et al., 2011). The existence of software allows the successful automation of data-extraction processes to liberate investigators from hours of image-by-image manual data capture. In the last few decades, the development of microscopy technology and the blending of routine biology and computer science skills have resulted in the development of intuitive open-source image analysis software to support laboratory experiments. The extraction of substantial quantitative data from fluorescence and light-microscopic images of in vitro and ex vivo biological samples is beyond the ability of most day-to-day laboratory researchers. © 2020 The Authors.īasic Protocol 1: SN4741 neuron culture and treatment in a rotenone-based model of Parkinson's diseaseīasic Protocol 2: Identification of cell nuclei, measurement of mitochondrial membrane potential, and measurement of mitochondrial fragmentation in mouse-derived midbrain dopaminergic neurons In this protocol, we describe the utilization of cell culture techniques, high-content imaging (HCI), and the subsequent open-source image analysis pipeline for the quantification of mitochondrial fragmentation in the context of a rotenone-based in vitro Parkinson's disease model. These developments allow routine biology researchers to rapidly turn hypotheses into results. Advances in microscopy and the availability of intuitive open-access software have accelerated the rate of image acquisition and analysis, respectively. Delineating the dysfunction in mitochondrial dynamics found in diseased states can aid our understanding of underlying mechanisms of disease progression and possibly identify novel therapeutic approaches. Neuronal mitochondrial fragmentation is a phenotype exhibited in models of neurodegeneration such as Parkinson's disease.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |