chandrasekarnarayana

chandrasekarnarayana

Config files for my GitHub profile.

Hotspot_detection_in_Yeast_Cell_Model-Image_Processing

Yeast cell act models to study neurodegenerative diseases like Alzheimer's disease, Parkinson's disease, Huntington's disease etc. They have been strongly correlated to unregulated amyloidosis. These manifests are erratic misfoldings of proteins and lead to irreversible functional degeneration of cells. Phenomenologically, this leads to specific protein aggregations and eventually the onset of the disease. The protein bundling or aggregations at the cellular level has been observed experimentally using both optical and electron microscopic techniques. Fluorescence imaging modality has been extensively utilized in this regard to capture these protein aggregations in real time. The inherent advantages of fluorescence imaging technique allow researchers to map hyper localization of biological processes as well as biomaterial transport at cellular levels. In this protect we aim at detection of cell wall and the postion of protien hotspot inside the cell by post-processing on the fluorescence image using OpenCV library.

Intro_CV

Intro_DL_NN_Keras

ML_Python

python_basics

Renal_Primitives_segmentation_DL

U-Net architecture

summit

Supervised MultiModal Integration Tool

LearningToCountEverything

SemAug

[WAVC 2024] Official implementation of the paper: Semantic Generative Augmentations for Few-shot Counting

chandrasekarnarayana/Hotspot_detection_in_Yeast_Cell_Model-Image_Processing

Yeast cell act models to study neurodegenerative diseases like Alzheimer's disease, Parkinson's disease, Huntington's disease etc. They have been strongly correlated to unregulated amyloidosis. These manifests are erratic misfoldings of proteins and lead to irreversible functional degeneration of cells. Phenomenologically, this leads to specific protein aggregations and eventually the onset of the disease. The protein bundling or aggregations at the cellular level has been observed experimentally using both optical and electron microscopic techniques. Fluorescence imaging modality has been extensively utilized in this regard to capture these protein aggregations in real time. The inherent advantages of fluorescence imaging technique allow researchers to map hyper localization of biological processes as well as biomaterial transport at cellular levels. In this protect we aim at detection of cell wall and the postion of protien hotspot inside the cell by post-processing on the fluorescence image using OpenCV library.

chandrasekarnarayana/chandrasekarnarayana

Config files for my GitHub profile.

chandrasekarnarayana/Intro_CV

chandrasekarnarayana/Intro_DL_NN_Keras

chandrasekarnarayana/ML_Python

chandrasekarnarayana/python_basics

chandrasekarnarayana/Renal_Primitives_segmentation_DL

U-Net architecture

chandrasekarnarayana/summit

Supervised MultiModal Integration Tool