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Updated: Feb 26, 2026
Detection and Isolation of Circulating Melanoma Cells using Photoacoustic Flowmetry
Published on: November 25, 2011
Identification of melanoma cells: a method based in mean variance of signatures via spectral densities
Esperanza Guerra-Rosas1, Josué Álvarez-Borrego1, Aracely Angulo-Molina2
1Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), División de Física Aplicada, Departamento de Óptica, Carretera Ensenada-Tijuana No. 3918, Fraccionamiento Zona Playitas, C.P. 22860, Ensenada, Baja California, Mexico.
Abstract:
In this paper a new methodology to detect and differentiate melanoma cells from normal cells through 1D-signatures averaged variances calculated with a binary mask is presented. The sample images were obtained from histological sections of mice melanoma tumor of 4 [Formula: see text] in thickness and contrasted with normal cells. The results show that melanoma cells present a well-defined range of averaged variances values obtained from the signatures in the four conditions used.
