Detection and extraction of biological particles in a three-dimensional imaging of biological structures by TEM (Transmission Electron Microscopy)
arXiv:2101.05062v1
Originality Synthesis-oriented
AI Analysis
This work addresses the problem of accurately segmenting ribosomes in 3D TEM images for biological researchers, aiming to overcome limitations of classical segmentation methods.
This paper proposes a new method for segmenting ribosomes in 3D Transmission Electron Microscopy (TEM) images. It includes pre-treatment and post-processing phases to improve segmentation beyond classical methods.
Cells segmentation shows rapid growth in biology. Indeed, using the classical segmentation methods only is not enough to segment this type of images. In this manuscript, we will present a new method of ribosomes segmentation. A pre-treatment phase will precedes the segmentation process and after that a post-processing will proceed.