Multi-modal nonlinear optical and thermal imaging platform for label-free characterization of biological tissue

Abstract The ability to characterize the combined structural, functional, and thermal properties of biophysically dynamic samples is needed to address critical questions related to tissue structure, physiological dynamics, and disease progression. Towards this, we have developed an imaging platform...

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Autores principales: Wilson R. Adams, Brian Mehl, Eric Lieser, Manqing Wang, Shane Patton, Graham A. Throckmorton, J. Logan Jenkins, Jeremy B. Ford, Rekha Gautam, Jeff Brooker, E. Duco Jansen, Anita Mahadevan-Jansen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/1b25eda4f11d4468a34fa298c48ab4dc
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Sumario:Abstract The ability to characterize the combined structural, functional, and thermal properties of biophysically dynamic samples is needed to address critical questions related to tissue structure, physiological dynamics, and disease progression. Towards this, we have developed an imaging platform that enables multiple nonlinear imaging modalities to be combined with thermal imaging on a common sample. Here we demonstrate label-free multimodal imaging of live cells, excised tissues, and live rodent brain models. While potential applications of this technology are wide-ranging, we expect it to be especially useful in addressing biomedical research questions aimed at the biomolecular and biophysical properties of tissue and their physiology.