Korea Advanced Institute of Science and Technology

Tomocube, Inc.

Samsung Electronics Co., Ltd.

The Wave Talk, Inc.

YongKeun Park

KyeoReh Lee

Young Dug Kim

Jae-guyn Lim

Woo-young Jang

Jae-duck Jang

JongHee Yoon

Seungwoo Shin

Seong-deok Lee

Jongchan Park

Kyeo Reh Lee

Hoon Song

Wontaek Seo

Jungkwuen An

Geon Yeong Kim

Nam Kyun Kim

Hyeonseung Yu

Hyunseok Min

Donghun Ryu

Kihyun Hong

Hui Jun Park

Hyun-Seok Min

Herve Jerome Hugonnet

Seung Woo Shin

Hyun Do Choi

Jung-Hoon Park

Seong-Deok Lee

Youngju Jo

Yong-Hoon Cho

Jong Chan Park

Dongmin Ryu

Chunghyun Park

Hyeon-seung Yu

Jae-Guyn Lim

Weisun Park

Hyungjoo Cho

Young Seo Kim

Moosung Lee

Kyoohyun Kim

Gwang Sik Park

Hyeon Seung Yu

Yoon Seok Baek

Jae-Duck Jang

Woo-Young Jang

Various embodiments provide a high-efficiency and directional non-resonant laser using a scattering cavity and a method of manufacturing the same. According to various embodiments, the non-resonant laser may include a gain medium unit in which a scattering cavity and an entrance communicating with the scattering cavity are provided, and a pumping and supply unit configured to supply pumping light to an inside of the scattering cavity. The gain medium unit may be implemented to be excited by the pumping light on the inside of the scattering cavity and to output emission light through the entrance. According to various embodiments, the gain medium unit may weaken the pumping light while reflecting the pumping light on the inside of the scattering cavity, and may amplify the emission light while reflecting the emission light on the inside of the scattering cavity.

High-efficiency and directional non-resonant laser using scattering cavity and method of manufacturing the same

According to an embodiment of the present disclosure, provided is an apparatus for providing microorganism information, including: a receiving unit configured to receive a plurality of images obtained by photographing in time series an outgoing wave emitted from a sample; a detecting unit configured to extract a feature of a change over time from the plurality of images obtained by photographing in time series; a learning unit configured to machine-learn classification criteria based on the extracted feature; and a determining unit configured to classify the type or concentration of a microorganism included in the sample based on the classification criteria, wherein each of the plurality of images includes speckle information generated by multiple scattering by the microorganism due to waves incident on the sample.

Microorganism information providing device and method

Proposed are a method and device for regularizing rapid three-dimensional tomographic imaging using a machine-learning algorithm. A method for regularizing three-dimensional tomographic imaging using a machine-learning algorithm according to an embodiment comprises the steps of: measuring a three-dimensional tomogram of a cell to acquire a raw tomogram of the cell; acquiring a regularized tomogram by using a regularization algorithm; and learning the relationship between the raw tomogram and the regularized tomogram through machine-learning.

Method and device for regularizing rapid three-dimensional tomographic imaging using machine-learning algorithm

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying the predicted type of one or more microorganisms. In one aspect, a system comprises a phase-contrast microscope and a microorganism classification system. The phase-contrast microscope is configured to generate a three-dimensional quantitative phase image of one or more microorganisms. The microorganism classification system is configured to process the three-dimensional quantitative phase image using a neural network to generate a neural network output characterizing the microorganisms, and thereafter identify the predicted type of the microorganisms using the neural network output.

Identifying microorganisms using three-dimensional quantitative phase imaging

A viewing angle expansion plate, which is a multi-pinhole mask, includes a plurality of cell areas; and a plurality of pinholes formed in the plurality of cell areas, wherein each cell area from among the plurality of cell areas corresponds to a respective pixel from among a plurality of pixels in a flat panel display. The flat panel display includes a light source configured to emit parallel light; a flat panel, on which the parallel light is incident, configured to provide a three-dimensional image; and the viewing angle expansion plate.

Three-dimensional holographic display using multiple pinholes and method of operating the same

Various example embodiments provide a computing device of an algorithm for reconstructing a three-dimensional (3D) image in consideration of multiple scattering and a method of the same. According to various example embodiments, the computing device may be configured to set a 3D refractive index based on a plurality of 2D images for a specimen and to reconstruct a 3D image for the specimen from the set refractive index using a modified Born expansion considering multiple scattering to converge a calculation result.

Computing device for algorithm to reconstruct three-dimensional tomogram by considering multiple scattering, and method of the same

A method and apparatus for measuring a 3-D refractive index tensor are presented. The method for measuring a 3-D refractive index tensor according to an embodiment comprises the steps of: controlling incident light of a plane wave with respect to at least one angle and polarization; and measuring, in a polarization-dependent manner, the 2-D diffracted light of a specimen with respect to the incident light incident at the at least one angle and polarization, wherein the birefringence value and the 3-D structure of an alignment direction of molecules in the specimen having birefringence may be measured.

Method and apparatus for measuring three-dimensional refractive index tensor

Disclosed are a method and apparatus for generating a three-dimensional (3-D) molecular image based on a label-free method using a 3-D refractive index image and deep learning. The apparatus for generating a 3-D molecular image based on a label-free method using a 3-D refractive index image and deep learning may include a 3-D refractive index cell image measurement unit configured to measure a 3-D refractive index image of a cell to be monitored and a 3-D refractive index and fluorescence molecule staining image conversion unit configured to input a measured value of the 3-D refractive index image to a deep learning algorithm and to output a 3-D fluorescence molecule staining cell image of the cell.

Method and apparatus for generating 3-D molecular image based on label-free method using 3-D refractive index image and deep learning

A non-label diagnosis apparatus for a hematologic malignancy may include a 3-D refractive index cell imaging unit configured to generate a 3-D refractive index slide image of a blood smear specimen by capturing a 3-D refractive index image in the form of the blood smear specimen in which blood (including a bone-marrow or other body fluids) of a patient has been smeared on a slide glass, an ROI detection unit configured to sample a suspected cell segment in the blood smear specimen based on the 3-D refractive index slide image and to determine, as ROI patches, cells determined as abnormal cells, and a diagnosis unit configured to determine a sub-classification of a cancer cell corresponding to each of the ROI patches using a cancer cell sub-classification determination model constructed based on a deep learning algorithm and to generate hematologic malignancy diagnosis results by gathering sub-classification results of the ROI patches.

Method and apparatus for rapid diagnosis of hematologic malignancy using 3D quantitative phase imaging and deep learning

Proposed are a three-dimensional (3D) optical tomography method and apparatus using a partially coherent light and a multi-illumination pattern. The 3D optical diffraction tomography method based on low coherence light and a multi-illumination pattern using a 3D optical diffraction tomography apparatus may include making light incident on a sample using a plurality of patterns, measuring, by an image measurement unit, different locations at different depth locations of the sample and measuring two-dimensional (2D) images of the sample, and reconstructing 3D refractive index information of the sample based on the different patterns and the 2D images obtained at the different depth locations.

Three-dimensional optical tomography method and apparatus using partially coherent light and multi-illumination pattern

Provided is a sample property detecting apparatus including: a wave source configured to irradiate a wave towards a sample; a detector configured to detect a laser speckle that is generated when the wave is multiple-scattered by the sample, at every time point that is set in advance; and a controller configured to obtain a temporal correlation that is a variation in the detected laser speckle according to time, and to detect properties of the sample in real-time based on the temporal correlation, wherein the detector detects the laser speckle between the sample and the detector or from a region in the detector.

Apparatus for detecting sample properties using chaotic wave sensor

An optical detection system includes a sample portion accommodating a sample, a wave source emitting waves to the sample portion, an optical portion provided on a path of an output wave output from the sample portion, and comprising a first spatial light modulator that modulates part of the output wave to a first wave and a second spatial light modulator that modulates part of the output wave to a second wave, a lens portion focusing the first wave and the second wave output from the optical portion, and a detection portion detecting a focused wave that is focused by the lens portion, in which the first spatial light modulator and the second spatial light modulator modulate the output wave such that the first wave and the second wave have destructive interference with respect to the sample under an already known condition.

Optical detection system

Provided are correction pattern obtaining apparatuses and methods of obtaining a correction pattern by using the correction pattern obtaining apparatuses. The correction pattern obtaining apparatus includes a flat panel display having an optical element that receives one or more input test patterns, a detector that measures intensity of light emitted from the flat panel display corresponding to each of the one or more input test patterns and a processor that determines a correction pattern comprising one or more of the one or more test patterns at a given ratio based on the measured intensity of light corresponding to each of the one or more input test patterns.

Correction pattern obtaining apparatus for correcting noise generated by optical element included in display and method of obtaining noise correction pattern using the same

Presented are a structured illumination microscopy system using a digital micromirror device and a time-complex structured illumination, and an operation method therefor. A structured illumination microscopy system using a digital micromirror device and a time-complex structured illumination according to an embodiment may comprise: a light source; a digital micromirror device (DMD) for receiving light irradiated from the light source, implementing a time-complex structured illumination, and causing a controlled structured illumination to enter a sample; and a fluorescence image measurement unit for extracting a high-resolution 3D fluorescence image of the sample.

Structured illumination microscopy system using digital micromirror device and time-complex structured illumination, and operation method therefor

Growing community of inventors

Daejeon, South Korea

YongKeun Park