A device is disclosed for determining characteristic parameters of the dimensions of nanoparticles in suspension in a liquid. The device emits an incident light beam that is linearly polarized along a polarization axis; a detecting unit comprising a measurement arm that is rotatable with respect to an axis of rotation, the detecting unit comprising first and second detection channels that are separated by a polarization-splitting element arranged in the measurement arm; a fixed sample holder receives a container of cylindrical symmetry of the sample, an axis of symmetry of the container being coincident with the axis of rotation of the measurement arm; and a control unit. The polarization-splitting element of the measurement arm is configured to simultaneously send, over each of the first and second detection channels, respectively, a first and second polarized component of the beam scattered by the sample.

The present disclosure provides sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

A particle size distribution measuring device includes an actual spectrum obtaining unit obtaining an actual spectrum which is a light intensity spectrum; a non-target spectrum calculating unit that receives non-target particle size distribution data indicating a particle size distribution of a non-target particle group which is not a measurement target and which is accommodated in the cell and that calculates, on the basis of the non-target particle size distribution data, a non-target spectrum which is a light intensity spectrum to be obtained by irradiating the non-target particle group with light; a non-target spectrum removing unit 23 that calculates a target spectrum which is a light intensity spectrum obtained by subtracting an influence of the non-target spectrum from the actual spectrum; and a target particle size distribution calculating unit that calculates the particle size distribution of the particle group which is the measurement target on the basis of the target spectrum.

Provided are a particle size measurement method, a particle size measurement apparatus, and a particle size measurement program in which a needless measurement time period is omitted by setting an appropriate measurement time period in accordance with a particle size to be measured. The particle size measurement method includes: a test measurement step; an autocorrelation function calculation step; a setting step of setting a part of a plurality of measurement timings set in advance as measurement timings to be used for main measurement, based on a time period required until an autocorrelation function falls below a predetermined threshold value and a preliminary time period set and added to the time period; a main measurement step of measuring a main measurement intensity of scattered light during a main measurement time period; and a particle size calculation step of calculating a particle size of a sample.

A particle characterisation instrument, comprising a light source, a sample cell, an optical element between the light source and sample cell and a detector. The optical element is configured to modify light from the light source to create a modified beam, the modified beam: a) interfering with itself to create an effective beam in the sample cell along an illumination axis and b) diverging in the far field to produce a dark region along the illumination axis that is substantially not illuminated at a distance from the sample cell. The detector is at the distance from the sample cell, and is configured to detect light scattered from the effective beam by a sample in the sample cell, the detector positioned to detect forward or back scattered light along a scattering axis that is at an angle of 0° to 10° from the illumination axis.

The present disclosure provides sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

Methods of analyzing and filtering light scattering data from a sample potentially containing a non-target compound, for example a contaminant. The presence of contaminants result in outliers in the scattering intensity data that increase both symmetry and width of photon counts obtained via analysis. After identification, various outliers are discarded to account for the non-target compounds and thereafter the remaining light scattering data is analyzed. Preferably, analyzing the light scattering data or photon counts involves determining a level to discard an outlier. In particular, the method includes the steps of identifying and quantifying the mode of photon count distribution and using the peak of the mode of distribution to eliminate outliers.

Disclosed herein is a method of characterizing particles in a sample. The method comprises illuminating the sample in a sample cell with a light beam, so as to produce scattered light by the interaction of the light beam with the sample; obtaining a time series of measurements of the scattered light from a single detector; determining, from the time series of measurements from the single detector, which measurements were taken at times when a large particle was contributing to the scattered light; determining a particle size distribution, including correcting for light scattered by the large particle.

A method for inspecting a lubricant oil composition containing a base oil and a fullerene, the method including: measuring at least one of a lamellar length of the lubricating oil composition and a most abundant diameter in a particle size distribution obtained by a dynamic light scattering method, and selecting the lubricating oil composition whose measured value is within a set range.

Systems and methods for holographic characterization of protein aggregates. Size and refractive index of individual aggregates in a solution can be determined. Information regarding morphology and porosity can be extracted from holographic data.