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What are the specific optical properties that distinguish breast cancer cells from healthy cells? 


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Breast cancer cells can be distinguished from healthy cells based on specific optical properties. Various studies have highlighted key optical characteristics for this differentiation. The optical Kerr effect has been proposed as a method to detect different grades of breast cancer by tracking electronic and molecular processes, showcasing changes in tissue conductivity based on cancer grade . Additionally, the critical angle of malignant tissue, as determined by the Fresnel equation, differs from that of healthy tissue, providing a distinctive optical parameter for diagnosing lesion tissues . Furthermore, the use of hyperspectral imaging has identified optimal spectral bands in the visible and near-infrared spectra that can differentiate between normal and tumor tissues, with high accuracy, sensitivity, and specificity rates . These optical properties offer promising avenues for non-invasive and effective diagnostic methods for breast cancer.

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Breast cancer cells exhibit higher accumulation of Methylene Blue in mitochondria, leading to increased fluorescence, distinguishing them from healthy cells based on optical imaging and spectral properties.
The near-infrared multifunctional azo-derivative, L4OD, targets hypoxic tumor environments, releasing fluorescent signals upon reacting with cytochrome P450 reductase, enabling optical detection and breast cancer tumor growth inhibition.
The critical angle and reflectance properties differentiate breast cancer cells from healthy cells, aiding in non-invasive optical diagnosis with potential for AI integration in disease progression monitoring.
Specific optical properties that distinguish breast cancer cells from healthy cells include optimal spectral bands of 600-680 nm and 750-960 nm for reflectance, and 560-590 nm and 760-810 nm for transmission.
The variances in ultrafast plasma Kerr responses related to dielectric relaxation distinguish breast cancer cells by showing significant changes in tissue conductivity depending on the cancer grade.

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