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Microscopic imaging is an important and powerful tool to study the molecular organization of cellular organelles, which are membrane bound functional units within mammalian cells. However,
there is a huge gap between the microscopic image acquisition and analysis. Most image analysis conducted by microscopists is qualitative and involves only a small set of images.
How to extract the quantitative information from a large set of microscopic images is challenging but of high demand in cellular imaging. Our lab is interested in the molecular and
cellular mechanism of the Golgi, an organelle that is consisting of flattened membrane sacs and functions as a protein trafficking hub. We have developed novel post-acquisition methods
to analyze Golgi images. These methods enable us to pin point the location of Golgi proteins at the nanometer resolution and extract structural features by using alignment and averaging.
However, they are achieved by a series of cumbersome software tools and improvements are needed to streamline the operation. The aim of this project is to develop an integrated software
tool and apply it to analyze a large amount of Golgi imaging data to gain further insight of molecular mechanisms within the Golgi. Candidate will also learn the cell culture, cell
fluorescence staining and microscopic imaging.
