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Immunohistochemistry has become one of the most reliable techniques to study the expression of different molecules throughout very specific regions, especially in neuroscience. In this compilation, the authors begin by explaining how to perform excellent immunohistochemistry to obtain high quality images, and more importantly, how to automatically analyze these images. In immunohistochemistry, it is also essential to be able to guarantee analytical reproducibility. By involving experienced observers, data consistency may be improved by increasing interobserver concordance. Immunohistochemistry has value in melanoma diagnostics, allowing for the distinguishing of malignant melanocytes from benignant ones. This technique also has prognostic relevance in detecting tumor infiltrating lymphocytes and microvascular metastases, discerning the lymphatics from the blood vessels.

The two-volume set LNCS 7324/7325 constitutes the refereed proceedings of the 9th International Conference on Image and Recognition, ICIAR 2012, held in Aveiro, Portugal, in June 2012. The 107 revised full papers presented were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on clustering and classification; image processing; image analysis; motion analysis and tracking; shape representation; 3D imaging; applications; biometrics and face recognition; human activity recognition; biomedical image analysis; retinal image analysis; and call detection and modeling.