Abstract:
This application provides to a method for identifying one or more prostate tissue samples in a database that are closest to a test prostate sample, which can be used to aid pathologists when examining prostate tissues to attain reliable and consistent diagnoses of prostate cancer. Also provided are databases and computer algorithms that can be used with such methods.
Abstract:
This application provides to a method for identifying one or more prostate tissue samples in a database that are closest to a test prostate sample, which can be used to aid pathologists when examining prostate tissues to attain reliable and consistent diagnoses of prostate cancer. Also provided are databases and computer algorithms that can be used with such methods.
Abstract:
This application provides to a method for identifying one or more prostate tissue samples in a database that are closest to a test prostate sample, which can be used to aid pathologists when examining prostate tissues to attain reliable and consistent diagnoses of prostate cancer. Also provided are databases and computer algorithms that can be used with such methods.
Abstract:
The disclosure provides instrumentation for the Raman spectroscopy analysis of seeds or grains, which can be used to determine the composition of the seed, such as its protein and oil content. In some examples the instrumentation includes an illumination device that emits light in the near infrared range, a sample holder to hold the seeds, and a collection device (e.g., Raman spectrograph) that captures the lights emitted by the seeds. Methods of determining the composition of seeds, such as soybeans, using Raman spectroscopy, are also provided.
Abstract:
The present disclosure relates to methods of analyzing breast tumor samples, for example as a means to determine whether the tumor is cancerous or benign. For example, it is shown herein that analysis of a Fourier transform infrared (FT-IR) spectroscopic image allows for automated detection of breast cancer or benign breast tumors with high accuracy.
Abstract:
This application provides to a method for identifying one or more prostate tissue samples in a database that are closest to a test prostate sample, which can be used to aid pathologists when examining prostate tissues to attain reliable and consistent diagnoses of prostate cancer. Also provided are databases and computer algorithms that can be used with such methods.
Abstract:
Described herein are spectrometers comprising one or more wavelength-selective filters, such as guided mode resonance filters. Some of the spectrometers described herein are configured for obtaining absorbance spectra in a discrete fashion by measuring absorbances of a sample at multiple discrete wavelengths or wavelength bands. In another aspect, methods are also provided for obtaining spectra, images and chemical maps of samples in a discrete fashion.
Abstract:
Embodiments of nanostructured, multilayered metal-dielectric particles suitable for use as Raman spectroscopic probes are disclosed, as well as methods of designing, making and using such multilayered nanoparticles, and kits including the multilayered nanoparticles. The multilayered nanoparticles include alternating metal and dielectric layers and an outer dielectric shell. One or more of the dielectric layers may include a plurality of reporter molecules. Embodiments of the multilayered nanoparticles are suitable for detecting target analytes in a sample. Some embodiments of the multilayered nanoparticles are suitable for use in multiplexed assays, including assays for multiple target analytes having differing concentrations.
Abstract:
The present disclosure relates to methods of diagnosing prostate cancer using different imaging methods. For example, it is shown herein that combining a Fourier transform infrared (FT-IR) spectroscopic image with an optical image (such as a hematoxylin and eosin image) allows for automated detection of prostate cancer with high accuracy.
Abstract:
Embodiments of nanostructured, multilayered metal-dielectric particles suitable for use as Raman spectroscopic probes are disclosed, as well as methods of designing, making and using such multilayered nanoparticles, and kits including the multilayered nanoparticles. The multilayered nanoparticles include alternating metal and dielectric layers and an outer dielectric shell. One or more of the dielectric layers may include a plurality of reporter molecules. Embodiments of the multilayered nanoparticles are suitable for detecting target analytes in a sample. Some embodiments of the multilayered nanoparticles are suitable for use in multiplexed assays, including assays for multiple target analytes having differing concentrations.