Nanoscale Prognosis of Colorectal Cancer Metastasis from AFM Image Processing of Histological Sections.

ABSTRACT: Early ascertainment of metastatic tumour phases is crucial to improve cancer survival, formulate an accurate prognostic report of disease advancement, and, most importantly, quantify the metastatic progression and malignancy state of primary cancer cells with a universal numerical indexing system. This work proposes an early improvement to metastatic cancer detection with 97.7 nm spatial resolution by indexing the metastatic cancer phases from the analysis of atomic force microscopy images of human colorectal cancer histological sections. The procedure applies variograms of residuals of Gaussian filtering and theta statistics of colorectal cancer tissue image settings. This methodology elucidates the early metastatic progression at the nanoscale level by setting metastatic indexes and crit

SUBMITTER: Gavriil V 

PROVIDER: S-EPMC9953928 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature