Sangeeta Murugkar

Mixtures of spatial factor analyzers for tensor-variate data

Hanzhang Lu, Keiran Malott, Kirsty Milligan, Sanjeena Subedi et autres

A mixture of spatial factor analyzers (MSFA) is introduced to address the challenges of clustering high-dimensional spatial data. By leveraging the underlying coordinate system, the proposed framework incorporates a flexible, spline-based spatial decay covariance structure that prevents parameter inflation as dimensionality increases. …

Evaluating Raman spectroscopy and covariate adjusted multivariate modeling for irradiated mouse blood plasma

Marjan Ghasemi, Haydn Flemming, Josh Kazi, Vinita Chauhan et autres

A novel system for micron‐scale analysis of energy deposition and response to low‐dose radiation

Connor McNairn, Iymad Mansour, Kirsty Milligan, Bryan Muir et autres

BACKGROUND: Micrometer-scale evaluation of energy deposition is important for radiation protection and therapy as well as for advancing knowledge of responses to radiation in materials and biological systems. Due to the stochastic nature of radiation interactions, there is significant variation in energy …

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Spatial Covariance Constraints for Gaussian Mixture Models

Hanzhang Lu, Keiran Malott, Venkat Suprabath Bitra, Kirsty Milligan et autres

Although extensive research exists in spatial modeling, few studies have addressed finite mixture model-based clustering methods for spatial data. Finite mixture models, especially Gaussian mixture models, particularly suffer from high dimensionality due to the number of free covariance parameters. This study introduces …

Label-free histological identification of intraductal carcinoma of the prostate using texture analysis-based multimodal stimulated Raman scattering microscopy

Justin R. Gagnon, Christian Harry Allen, Mame-Kany Diop, F. Dallaire et autres

Intraductal carcinoma of the prostate (IDC-P) is a very aggressive histopathological subtype of prostate cancer (PCa) that is strongly associated with poor clinical outcomes but for which no accurate biomarkers exist. Here, we demonstrate a novel application of texture analysis-based machine learning …

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Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling

Irene Georgakoudi, Melissa C. Skala, Kyle P. Quinn, Chiara Stringari et autres

Significance: Cellular metabolism plays a central role in health and disease, making its study critical for advancing diagnostics and therapies. Label-free optical metabolic imaging using endogenous fluorescence from reduced nicotinamide adenine dinucleotide (phosphate) [NAD(P)H] and flavin adenine dinucleotide (FAD) provides nondestructive, high-resolution …

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Optimization of Fiber Amplifier Design for Stimulated Raman Scattering Microscopy

Christian Harry Allen, Ahmed M. Othman, Justin R. Gagnon, Teresa Buragina et autres

Spectral focusing is a rapid, reliable, and simple method for acquiring hyperspectral coherent Raman images using chirped femtosecond lasers. Previous work has demonstrated the use of a parabolic fiber amplifier for Stokes pulse amplification, which increases the bandwidth of Stokes pulses in …

ca, Égypte (code pays fourni par la source)

Raman spectroscopy of x-ray irradiated blood plasma: a pilot study

Amiel Beausoleil-Morrison, Xiaoke Qin, Connor McNairn, Kaitlyn Altwasser et autres

Abstract Biodosimetry is a key technique for retrospective radiation dosimetry that provides individual estimates of the absorbed dose of ionising radiation based on the detection of biological indicators. A critical challenge confronting current biodosimetry methods is the time and technical expertise needed …

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Exploring the potential of Raman micro‐spectroscopy of radiochromic films for experimental microdosimetry

Connor McNairn, Kirsty Milligan, Iymad Mansour, Edana Cassol et autres

Background Micrometer‐scale dosimetry is crucial when estimating the energy deposited within micrometer‐scale biological targets exposed to low doses or high dose gradients. Raman micro‐spectroscopy read‐out of radiochromic films (RCFs) permits micrometer‐scale resolution; this presents a novel opportunity to explore its feasibility for …

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Advancing Micrometer-Scale Radiation Dosimetry with Raman Micro-Spectroscopy: Limitations and Potential Solutions

Connor McNairn, Iymad Mansour, Bryan Muir, Rowan M. Thomson et autres

Raman spectroscopy (RS) assessment of radiochromic films (RCF) offers notable advantages over current techniques. It provides micrometer scale spatial resolution, and sensitivity to both low doses relevant for radiation protection (2 Gy) related to radiation therapy (RT). We showcase a RS technique …

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Texture-analysis classification of intraductal carcinoma of the prostate using multimodal nonlinear optical imaging

Justin R. Gagnon, Christian Harry Allen, Mame-Kany Diop, F. Dallaire et autres

Texture-Analysis Classification of Intraductal Carcinoma of the Prostate Using Label-Free Multimodal Nonlinear Optical Imaging

Jacob Gagnon, Christian Harry Allen, Mame-Kany Diop, F. Dallaire et autres

Intraductal carcinoma of the prostate (IDC-P) is a very aggressive histopathological subtype of prostate cancer (PCa) for which no accurate biomarkers exist. In our work, we apply a multimodal nonlinear optical imaging approach that uses second-harmonic generation (SHG) and stimulated Raman scattering …

ca (code pays fourni par la source)