title: Automatic selection of molecular images from dark field electron micrographs.
abstract: A method is described which can be used objectively to select putative molecular images from dark field electron micrographs of unstained molecules. The only characteristic of the molecule required for automatic selection is an estimate of molecular weight. Structures are selected from micrographs by a series of steps including: low pass filtering, edge detection and mass determination. The procedure is shown to be reliable for images with signal-to-noise ratios of at least 4.0. Moreover, the method is insensitive to both the shape and the number of molecules in the image. Five different molecules with molecular weights between MW 330,000 and MW 4000 are successfully selected from low dose STEM and high dose tilt beam dark field electron micrographs.
mesh_terms: D002374:Catalase; D003626:Data Display; D008855:Microscopy, Electron, Scanning / Q000379:methods*; D008970:Molecular Weight; D011479:Protamines; D011487:Protein Conformation; D021382:Protein Sorting Signals; D014027:Tobacco Mosaic Virus / Q000648:ultrastructure; D014362:Trypsinogen
chemical_list: D011479:Protamines; D021382:Protein Sorting Signals; D014362:Trypsinogen; D002374:Catalase