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Emma Bao

Publications and source records attributed to Emma Bao.

2 recordsLinked to original sources

Comparison of melanin subtypes using pump-probe microscopy

Pump-probe microscopy (PPM) is used to probe excited state dynamics of endogenous chromophores to generate contrast that is unavailable in traditional forms of microscopy. Here we apply PPM to characterize melanin, a pigment central to photoprotection, skin and eye pigmentation, and melanoma pathogenesis. Melanin is notoriously difficult to analyze due to its structural and chemical complexity. We imaged melanin from six different lesion categories: cutaneous nevi, lentigo, cutaneous malignant melanoma, conjunctival melanocytic lesions, vulvar melanocytic lesions, and a murine melanoma model, across 21 independent biological samples and 109 regions of interest. Using model fitting, adapted phasor analysis, and support vector machine classification, we characterize and quantify excited-state dynamics as a surrogate for chemical and structural heterogeneity. Heterogeneity of melanin separates cutaneous from non-cutaneous lesions, but is not correlated with malignancy. Benign lentigo is the most heterogeneous population in the dataset, exceeding cutaneous malignant melanoma, while conjunctival lesions are the most homogeneous despite receiving direct solar exposure. Classification on full transient absorption curves separates most subtypes well above the six-class chance level. These findings demonstrate the ability of PPM to reveal subtle differences in melanin photophysics across diverse tissue environments, with implications for optical tissue classification and the understanding of melanoma pathogenesis.

physics.optics↗

Evaluating the predictive power of pump-probe imaging contrast of melanin for metastatic outcome: A 71-patient study

Significance: Most melanoma deaths arise from metastatic spread, yet current staging imperfectly identifies which primary tumors will progress. Melanin structure is altered during malignant transformation, and pump-probe microscopy (PPM) measures melanin excited-state dynamics in standard biopsy sections, offering molecular contrast that is complementary to morphology-based assessment. Aim: To determine whether PPM-derived melanin excited-state dynamics in primary cutaneous melanoma can predict metastatic outcome. Approach: We imaged unstained sections from 71 primary cutaneous melanomas and 18 melanoma metastases. Transient absorption curves were fit to a biexponential excited-state model, and the fit parameters were used as features for learning classifiers to predict metastatic outcome. Results: Melanin dynamics separated primary from metastatic tissue: both excited-state lifetimes were shorter in primaries, with common-language effect sizes up to 0.26. The same parameters did not separate primary tumors by outcome (effect sizes 0.41-0.61), and univariate logistic regression found no significant association for either the excited-state lifetimes or the ESA/GSB ratio. The best classifier reached 74% patient-level accuracy (AUC 0.73), a plateau reached by several unrelated architectures. Conclusions: PPM robustly distinguishes primary from metastatic melanoma tissue, consistent with progressive melanin disaggregation. While it is clear that pump-probe features of melanin thus correlate with tissue differences, melanin dynamics in single sections of the primary tumor, confounded by heterogeneity, do not give robust predictions of metastatic outcome.

physics.optics↗