Samsung Electronics Co., Ltd.

Korea University Research and Business Foundation

Imec Vzw

Woo Chang Lee

Ho Jun Chang

Yun S Park

Eui Seok Shin

Sung Hyun Nam

Seung Jun Lee

Dong Ho Kim

Jin Young Park

Young Hoon Kim

Jung Mok Bae

Woo Sik Choi

Jae Young Kim

Sang Kyu Kim

June Young Lee

Seoung Bum Kim

Sung Mo Ahn

Soo Suk Lee

Bok Soon Kwon

Tom Claes

Jae Phil Do

Youn Suk Choi

Alexey Anikanov

Jae Yeon Jung

Eui-Seok Shin

A spectrometer includes: a dispersive element configured to split light; a detector comprising a plurality of pixels configured to receive the split light; an optical mask disposed in an optical path of the light between the dispersive element and the detector and comprising a plurality of light transmitting portions and a plurality of light blocking portions which are arranged alternately; and a driver configured to control a position of the optical mask or a position of the detector, and change a light incident area of each of the plurality of pixels to receive the light incident on the plurality of light transmitting portions of the optical mask.

Spectrometer, and apparatus and method for estimating bio-information

An apparatus is provided. The apparatus includes a memory, a second type spectrum measurer, and a processor. The memory stores an individualized blood sugar estimation model. The second type spectrum measurer measures second type spectrum data for a skin of a user. The processor calculates blood sugar of the user based on the measured second type spectrum data and the individualized blood sugar model. The blood sugar model is generated based on blood sugar profile data of the user calculated based on a first type spectrum-blood sugar profile relationship model and training second type spectrum data for the skin of the user.

Apparatus and method for estimating blood sugar based on heterogeneous spectrums

A apparatus for estimating concentration may include: a spectrum obtainer configured to obtain Raman spectra of an object; and a processor configured to extract, from the Raman spectra, at least one analyte spectrum related to an analyte and at least one non-analyte spectrum related to a biological component other than the analyte, and estimate concentration of the analyte based on a first area under a curve of the at least one analyte spectrum and a second area under a curve of the at least one non-analyte spectrum.

Apparatus and method for estimating analyte concentration, and apparatus and method for generating analyte concentration estimation model

An apparatus for measuring a Raman spectrum may include a processor configured to adjust a Raman probe parameter, set a Raman probe with the Raman probe parameter, obtain a first Raman spectrum of the sample at a first time point and a second Raman spectrum of the sample at a second time point, obtain a difference spectrum between the first Raman spectrum and the second Raman spectrum, determine a degree of similarity between the difference spectrum and an analyte Raman spectrum, determine an optimal Raman probe parameter based on the degree of similarity, and obtain a Raman spectrum of the sample for measuring bio-information by setting the Raman probe with the optimal Raman probe parameter.

Apparatus and method for measuring Raman spectrum

Provided is an apparatus for measuring particulate matter, the apparatus including an air inflow device configured to receive air including particulate matter particles, two or more light sources configured to respectively emit light of different wavelengths to the air received, a pattern measuring device configured to measure scattering patterns for each wavelength of light based on detecting light that is forward-scattered by the particulate matter particles and light that is back-scattered by the particulate matter particles, and a processor configured to obtain a size of the particulate matter particles and a concentration of the particulate matter particles based on the scattering patterns for each wavelength of light.

Apparatus and method for measuring particulate matter

Provided is an apparatus for measuring particulate matter including an image obtaining device configured to charge particulate matter particles included in air that is introduced to the image obtaining device, and to obtain an image of the charged particulate matter particles based on lens-free imaging, a spectrum obtaining device configured to obtain a Raman spectrum of the charged particulate matter particles, and a processor configured to determine a size of the particulate matter particles and a concentration of the particulate matter particles based on the obtained image, and to determine components of the particulate matter particles based on the obtained Raman spectrum.

An apparatus and a method for determining blood sugar based on heterogeneous spectrums are provided. The blood sugar model generation apparatus includes a data obtainer configured to obtain blood sugar profile data of a user based on a first type spectrum-blood sugar profile relationship model, a second type spectrum measurer configured to measure training second type spectrum data for the skin of the user, and a processor configured to generate an individualized blood sugar model based on the obtained blood sugar profile data and the measured training second type spectrum data.

A Raman probe provided includes a light source part configured to emit light on a sample, and further configured to adjust at least one of an incident angle of the light, a position of an emission point of the light, and a focal point of the light source part, a light collector configured to collect Raman scattered light from the sample, and further configured to adjust a field of view of Raman measurement and a focal point of the light collector, and a photodetector configured to receive the collected Raman scattered light, wherein the light source part comprises a reflection mirror configured to rotate to adjust the position of the emission point of the light.

Raman probe, Raman spectrum obtaining apparatus, and method of obtaining Raman spectrum and detecting distribution of target material using Raman probe

An optical measuring device including a light source, a light beam path adjuster, a light detector and a controller is provided. The light source may emit light toward an object in a predetermined progress direction. The light beam path adjuster may be disposed between the light source and the object and may change a progress path of the light emitted from the light source. The light detector may receive the light that is reflected from the object after passing through the light beam path adjuster. The controller may compare a first effective beam path length of the reflected light that the light detector receives with a predetermined target beam path length and control a refractive angle of the light beam path adjuster based on a beam path length difference between the first effective beam path length and the predetermined target beam path length.

Optical measuring device and electronic device including the same

A spectrometer is provided. The spectrometer may include an image sensor including a pixel array; and a photonics layer disposed on the pixel array and including a plurality of resonators and a plurality of couplers evanescently coupled to the plurality of resonators.

Spectrometer and apparatus for measuring biological component using the same

A surface acoustic wave ('SAW') sensor system comprises a signal generating part, which applies an electrical signal to a SAW sensor, the SAW sensor connected to the signal generating part, which converts the electrical signal into a SAW, senses a measurement target using the SAW, and converts a SAW output corresponding to the measurement target into an electrical signal, and a signal measuring part connected to one side of the SAW sensor, which detects a change in the electrical signal by time-gating a multiple-transit-echo wave.

Growing community of inventors

Anyang-si, South Korea

Woo Chang Lee