3D reconstruction of histological sections: Application to mammary gland tissue

By Ignacio Arganda-Carreras, R. Fernandez-Gonzalez, Arrate Muñoz-Barrutia, Carlos Ortiz-de-Solorzano. Microscopy research and technique (Print), 2010

683 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biophysics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/101499ba08c9cb2b77963755779c2adec735ff4b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biophysics

1. Fabrice Cordelières
2. M. Saxton

In Computer Vision and Pattern Recognition

1. Benjamin Schmid
2. Ignacio Arganda-Carreras
3. John R. Hutchinson

Citations in the corpus

• BoneJ: free and extensible bone image analysis in ImageJ (2010, methodology): “Analyse Skeleton Calculates branch length and counts junctions [22] Anisotropy Estimates degree of anisotropy (DA) using the mean”
• A Computational Tool for Quantitative Analysis of Vascular Networks (2011, methodology): “After segmentation, vessels are skeletonized [28] and analyzed (implementation based on [29]).”
• 3D modeling of filtration process via polyurethane nanofiber based nonwoven filters prepared by electrospinning process (2011, methodology): “Second, using the converted black and white image, fiber centerlines pixels (which are always connected to each other) are determined by the algorithm developed by Ignacio et al. (2010) (see Fig.”