Abstract: The present disclosure provides methods, systems, and computer-readable storage media that can be used to image an unstained sample. Traditionally histopathology and immunohistochemistry methods use stains or dyes in combination with microscopy (or other detection methods) to detect cells and cellular structures, such as proteins. However, the disclosed methods do not require the use of such stains and dyes. The disclosed methods can include obtaining a spectroscopic image (e.g., infrared (IR) imaging data) of the sample, analyzing the resulting spectroscopic image to reduce the dimensionality of the spectroscopic image, comparing the reduced spectroscopic image compared to a control (e.g., by using an appropriately trained algorithm) and generating an output computed stain image from the reduced IR spectra, thereby imaging the sample without the use of stains or dyes.

Abstract: Methods and computer program products for super-resolution mapping of nanoprobes having spectrally distinguishable coherent scattering properties. A sample containing a plurality of nanoprobes is illuminated with broadband light, and coherent scattering by the nanoprobes is detected. Scattered light is spectrally associated with respective nanoprobes, allowing a position associated with each nanoprobe to be mapped.

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: 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: 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: Methods and a non-transient computer medium embodying computer readable code for extracting bulk spectroscopic properties of a particle. A forward model is built of an optical field focused on, and interacting with, the particle, where the forward model parameterized in terms of at least one geometrical characteristic of the particle. The particle, which may be a filamentary material, is illuminated with an incident optical field having a spectral range. Either a transmitted or scattered optical field is detected in a far-field zone as a function of wavenumber to obtain a measured spectrum. The measured spectrum is inverted to recover the imaginary part of the complex refractive index of the particle.

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: 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.