For researchers, fast and high-quality analysis of solid tumor tissue samples is important, as is enhancing the quality and reliability of macro-dissection, nucleic acid extraction and molecular profiling. Digital pathology has the potential to empower this research, through automated detection and analysis of tumor cells on H&E-stained tissue sections. With powerful algorithms for research into lung cancer, colorectal cancer and breast cancer, Philips TissueMark is the Philips offering in this space.
Using automated technology and imaging algorithms, it provides unique methods for tumor cell counting sample quality, sample selection, and tumor sufficiency, even at high sample volumes. Tumor probability is shown via a quantitative visual heat map, based on automatic analysis of tissue samples. The heat map is color-coded and provides information on tumor location and differentiation from stroma, inflammation, and necrosis.
