title: 3D analysis of SEM images of corrosion casting using adaptive stereo matching.
abstract: The corrosion casting method represents one of the most widely used technique to study the 3D microvascularization of many tissues, both in their normal and pathological conditions. For a long time this technique was used only to perform a qualitative evaluation of the images obtained by scanning electron microscopy (SEM). A quantitative evaluation of vascular parameters (e.g., interbranching and intervascular distances, angle measurements, lengths and diameters) was lacking, mainly because of the difficulties found in the measurement performed on 2D SEM images. Then, some authors reported a quantitative method based on the analyses of stereo-pair images that allowed precise morphometric measurements. To visualize the specimens in 3D, it was necessary to use red-green glasses. In this article we describe a new approach by which we can automatically obtain a 3D reconstruction of vascular cast specimen's surface directly from stereo-images. Moreover, we developed a software that performed micrometric measurements on the 3D construct generated from the stereo-pictures. In conclusion, implementing together these two softwares and applying them to corrosion casting samples made it possible to render in 3D the surface of corrosion cast as well as make quantitative measurements on the corrosion casts.
authors.affiliation: Department of Human Morphology, University of Insubria, Varese, Italy. emanelli@libero.it
authors.forename: A
authors.initials: A
authors.lastname: Manelli
authors.forename: S
authors.initials: S
authors.lastname: Sangiorgi
authors.forename: E
authors.initials: E
authors.lastname: Binaghi
authors.forename: M
authors.initials: M
authors.lastname: Raspanti
mesh_terms: D000818:Animals; D016319:Corrosion Casting; D021621:Imaging, Three-Dimensional; D007678:Kidney Glomerulus / Q000648:ultrastructure; D008297:Male; D008855:Microscopy, Electron, Scanning / Q000295:instrumentation / Q000379:methods*; D051381:Rats; D017208:Rats, Wistar