The invention relates to a device for a light-spectroscopic analysis of a, for example, liquid sample. In particular, light should be guided through a sample and then detected and/or analyzed photometrically, spectrophotometrically, fluorometrically, spectrofluorometrically and/or by means of phosphorescence or luminescence.

Embodiments relate to a bioagent capture and identification system including a microfluidic platform for label-free, size-based capture, enrichment, and optical profiling of bioagents using vertically aligned carbon nanotubes coated in gold nanoparticles. Bioagent identification can be automated using machine learning. Captured bioagents remain viable after capture and analysis. In the nanotube fabrication process, catalyst precursor layers are fabricated using patterned stamps. In addition, nanotube diameter and density are increased by increasing the concentration of metal content in the catalyst precursor layer.

Embodiments of this invention relate generally to a miniature multi-spectral system to detection pathogen, biomarkers, or any compound from a sample. In one example, a miniature multi-spectral system comprises a first miniature spectrometer to generate a first spectral output based on a sample, a second miniature spectrometer to generate a second spectral output based on the sample, and a processor coupled to the first and the second miniature spectrometers. The processor is configured to execute instructions to perform data fusion of the first and second spectral outputs to generate fused data, and to apply artificial intelligence (AI) of an AI module to the fused data to identify a pathogen, biomarker, or any compound from the sample.

Embodiments described herein generally relate to: sensing and/or authentication using luminescence imaging; diagnostic assays, systems, and related methods; temporal thermal sensing and related methods; and/or to emissive species, such as those excitable by white light, and related systems and methods.

An inspection apparatus includes a light source unit, cameras, a keyboard, and a controller that determines a wavelength of the excitation light, based on the information on the emission color received by the keyboard, and that controls the light source unit so that the light source unit generates excitation light with the determined wavelength. The controller determines a wavelength longer than an absorption edge wavelength of the substrate of the sample and shorter than a peak wavelength of an emission spectrum of the light-emitting element, the peak wavelength being specified from the information on the emission color, to be the wavelength of the excitation light.

The present invention relates to a method for analyzing and selecting a specific droplet among a plurality of droplets (4), comprising the following steps: —providing a plurality of droplets (4), —for a droplet (4) among the plurality of droplets, measuring at least two optical signals, each optical signal being representative of a light intensity spatial distribution in the droplet for an associated wavelength channel, —calculating a plurality of parameters from the optical signals, —determining a sorting class for a droplet according to calculated parameters, —sorting said droplet according to its sorting class, wherein the plurality of parameters comprises the coordinates of a maximum for each optical signal and a co-localization parameter and the at least two calculated parameters used for the determining step comprises the co-localization parameter.

A microspectroscopic device includes: a wavelength-tunable first light source configured to emit pump-light in a mid-infrared wavelength range; a second light source configured to emit probe-light in a visible range; a light source controller configured to change a wavelength of the infrared light source; a first optical system configured to combine the pump-light and the probe-light to acquired combined light and concentrate the combined light on a minute part of a sample; a second optical system configured to block at least the probe-light from transmitted light or reflected light of the sample; a detector configured to detect light incident thereon from the second optical system; a first spectrum acquisition means configured to acquire a spectrum of the incident light during the probe-light emission to the sample as a Raman spectrum or a fluorescence spectrum of the sample; and a second spectrum acquisition means configured to acquire an infrared absorption spectrum of the sample, based on a change in the spectrum of the incident light with respect to a change in a wavelength by the light source controller during the probe-light and pump-light emission to the sample.

Hardware and control software for use in the field of digital imaging and spectroscopy. More particularly, a hardware and software system that simultaneously measures electromagnetic energy as quantities of photons in distinct wavelength regions across the ultraviolet, visible, and infrared spectrum. The system records the measurements as digital data and employs a processor (preferably a programmable processor) that executes processing steps to enhance the spatial and spectral fidelity of the recorded signals. More specifically, the electro-optical sensor hardware is engineered to maximize the light collection efficiency, especially for low light intensities, by using multiple detectors, each of which is optimized individually to maximize its sensitivity to specific wavelength regions of interest. The detector system also employs a variable amplification process that is dependent on the signal intensity so that low signals can be increased for better detection while high signals are amplified less to stay within the dynamic range of the optical sensor that is used to convert the analog signal to a digital value. Solutions to existing problems of low light detection are provided as are new capabilities for data collection and analysis in previously undetectable low signal regimes. The systems and methods are applicable to a broad array of imaging applications in diverse fields from biomedical imaging to astronomy and remote sensing.

A way to design a codebook for estimating the type of a molecule at a particular location in a fluorescence microscopy image makes use of one or both of (1) knowledge of the non-uniform prior distribution of molecule types (i.e., some types are known a priori to occur more frequently than others) and/or knowledge of co-occurrence of molecule types at close locations (e.g., in a same cell); and (2) knowledge of a model of the (e.g., random) process that yields the intensities that are expected at a location when a molecule with a particular subset of markers (i.e., a molecule of a type that has been assigned a codeword that defines that subset) is present at that location. The codebook design may provide experimental efficiency by reducing the number of images that need to be acquired and/or improve classification or detection accuracy by making the codewords for different molecule types more distinctive.

The present invention relates to methods of nucleic acid analyte detection by PCR. In particular, methods and kits for the detection of a plurality of nucleic acid analytes and the generation of kinetic signatures are provided. Further provided are methods and kits of nested PCR and PCR using limiting primers.