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Bioinformatics Institute

2 ARTICLES PUBLISHED IN JoVE

Biology

Quantitative Localization of a Golgi Protein by Imaging Its Center of Fluorescence Mass

Hieng Chiong Tie¹, Bing Chen¹, Xiuping Sun¹, Li Cheng^2,3, Lei Lu¹

¹School of Biological Sciences, Nanyang Technological University, ²Bioinformatics Institute, ³School of Computing, National University of Singapore

The precise localization of Golgi residents is essential for understanding the cellular functions of the Golgi. However, conventional optical microscopy is unable to resolve the sub-Golgi structure. Here we describe the protocol for a conventional microscopy based super-resolution method to quantitatively determine the sub-Golgi localization of a protein.

Behavior

Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking (FLLIT)

Animesh Banerjee¹, Shuang Wu², Li Cheng³, Sherry Shiying Aw¹

¹Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, ²Bioinformatics Institute, Agency for Science, Technology and Research, ³Department of Electrical and Computer Engineering, University of Alberta

We describe detailed protocols for using FLLIT, a fully automated machine learning method for leg claw movement tracking in freely moving Drosophila melanogaster and other insects. These protocols can be used to quantitatively measure subtle walking gait movements in wild type flies, mutant flies and fly models of neurodegeneration.