Abstract:
The disclosure relates to methods and systems for the analysis of compounds in a crystalline state and/or undergoing crystallization. Two-dimensional correlation (2DCOS) and co-distribution analysis (2 DCDS) analysis plots can be generated and analyzed. Asynchronous plots can aid in establishing a sequential order of events. Positive cross peaks that correlate with auto peaks associated with aggregation can be identified. The auto peaks can be referenced to quickly discern the regions of the molecule most perturbed, which would indicate a driver for the crystallization state of the molecule. One can define which functional group types (e.g., region) are most perturbed (positive, intense auto peak) and observe how the different auto peaks begin to have greatest intensity change. These changes in auto peaks in the synchronous plots for the different stages of crystallization can provide information as to the dynamics of the process from amorphous to crystalline state.
Abstract:
Non-dispersive infrared (NDIR) sensing systems employ a NDIR sensor coupled to a microprocessor to determine gas concentrations by employing slope-based methodologies that compensate for pressure variations, temperature variations, or both, which may compare NDIR signals with calibrated data. NDIR sensor systems may employ means for limiting the system peak current demand providing for the portability and scalability of the system. In NDIR sensor systems calculating gas concentrations using calibration data, the phase of the change in the NDIR output signal in response to a change in the infrared source emitter level may be measured as part of the calibration process.
Abstract:
Method and apparatus for detecting biomolecular interactions. The use of labels is not required and the methods may be performed in a high-throughput manner. An apparatus for detecting biochemical interactions occurring on the surface of a biosensor includes a light source. A first optical fiber is coupled to the light source and illuminates the biosensor. A second optical fiber detects a wavelength reflected from the biosensor. A spectrometer determines spectra of a reflected signal from the biosensor.
Abstract:
Systems and methods are disclosed to determine the concentration of a species within a sample. An example method may include collecting optical loss data over a range of frequencies from the sample using a spectroscopy system; placing the optical loss data into a plurality of bins, each bin having a defined frequency width; determining an average optical loss data value for the optical loss values within each bin that have an optical loss value less than a threshold value; removing the optical loss data within each bin having a value outside a tolerance range bounding the average optical loss data value for the respective bin; fitting a spectral curve to the remaining optical loss data; and determining the concentration of the species within the sample based on the spectral curve.
Abstract:
A computer implemented method. The method includes obtaining, using a processor, spectral reflectance data from a coated surface having a target coating theron; and determining, using the processor, whether the data includes any outlier data points. The method also includes removing, using the processor, at least one of the outlier data points to produce final spectral reflectance data; and calculating, using the processor, a characteristic of the target coating based at least in part on the final spectral reflectance data.
Abstract:
Method and apparatus for detecting biomolecular interactions. The use of labels is not required and the methods may be performed in a high-throughput manner. An apparatus for detecting biochemical interactions occurring on the surface of a biosensor includes a light source. A first optical fiber is coupled to the light source and illuminates the biosensor. A second optical fiber detects a wavelength reflected from the biosensor. A spectrometer determines spectra of a reflected signal from the biosensor.
Abstract:
Method and apparatus for detecting biomolecular interactions. The use of labels is not required and the methods may be performed in a high-throughput manner. An apparatus for detecting biochemical interactions occurring on the surface of a biosensor includes a light source. A first optical fiber is coupled to the light source and illuminates the biosensor. A second optical fiber detects a wavelength reflected from the biosensor. A spectrometer determines spectra of a reflected signal from the biosensor.
Abstract:
Method and apparatus for detecting biomolecular interactions. The use of labels is not required and the methods may be performed in a high-throughput manner. An apparatus for detecting biochemical interactions occurring on the surface of a biosensor includes a light source. A first optical fiber is coupled to the light source and illuminates the biosensor. A second optical fiber detects a wavelength reflected from the biosensor. A spectrometer determines spectra of a reflected signal from the biosensor.
Abstract:
Method and apparatus for detecting biomolecular interactions. The use of labels is not required and the methods may be performed in a high-throughput manner. An apparatus for detecting biochemical interactions occurring on the surface of a biosensor includes a light source. A first optical fiber is coupled to the light source and illuminates the biosensor. A second optical fiber detects a wavelength reflected from the biosensor. A spectrometer determines spectra of a reflected signal from the biosensor.
Abstract:
An inspection method includes extracting a first similarity by comparing first data of a first optical signal with reference data of a reference optical signal, generating a first normal distribution of the first similarity, extracting a second similarity by comparing second data of a second optical signal with the reference data of the reference optical signal, generating a second normal distribution of the second similarity, and comparing the first normal distribution with the second normal distribution. The extracting of the first similarity includes deriving the first data of the first optical signal.