Articles by Sahil Tahiliani in JoVE
Identification of Metal Oxide Nanoparticles in Histological Samples by Enhanced Darkfield Microscopy and Hyperspectral Mapping Gary A. Roth1, Maria del Pilar Sosa Peña1, Nicole M. Neu-Baker1, Sahil Tahiliani1, Sara A. Brenner1 1Nanobioscience Constellation, SUNY Polytechnic Institute, Colleges of Nanoscale Science and Engineering Enhanced darkfield microscopy and hyperspectral imaging with spectral mapping enable screening, localization, and identification of nanoscale materials in histological samples with improved speed and accuracy over traditional methods. The goal of this paper is to provide methods for darkfield imaging and hyperspectral mapping of metal oxide nanoparticles in histological samples.
Other articles by Sahil Tahiliani on PubMed
Hyperspectral Microscopy As an Analytical Tool for Nanomaterials Wiley Interdisciplinary Reviews. Nanomedicine and Nanobiotechnology. Jul-Aug, 2015 | Pubmed ID: 25611199 Hyperspectral microscopy is an advanced visualization technique that combines hyperspectral imaging with state-of-the-art optics and computer software to enable the rapid identification of materials at the micro- and nanoscales. Achieving this level of resolution has traditionally required time-consuming and costly electron microscopy techniques. While hyperspectral microscopy has already been applied to the analysis of bulk materials and biologicals, it shows extraordinary promise as an analytical tool to locate individual nanoparticles and aggregates in complex samples through rapid optical and spectroscopic identification. This technique can be used to not only screen for the presence of nanomaterials, but also to locate, identify, and characterize them. It could also be used to identify a subset of samples that would then move on for further analysis via other advanced metrology. This review will describe the science and origins of hyperspectral microscopy, examine current and emerging applications in life science, and examine potential applications of this technology that could improve research efficiency or lead to novel discoveries.