AI-powered transmitted light microscopy

Artificial Intelligence

AI-powered transmitted light microscopy uses a range of AI technologies to make:

Living cell tracking by solving a set of regression problem over time, Cell status identification using deep neural network, Subcellular structure segmentation using unsupervised and supervised deep learning,

from transmitted light microscopy images without labeling. Label-free living cell monitoring is possible using AI technologies!

• *Patents:


• 김동영, 민유홍, 조윤경,인공신경망을 이용한 특수 현미경 영상 생성 방법 및 영상 처리 장치
  (GENERATING METHOD FOR SPECIALIZED MICROSCOPE IMAGES USING ARTIFICIAL NEURAL NETWORK AND IMAGE PROCESSING APPARATUS).
  한국특허1020846820000, 2020.


• 김동영, 민유홍, 조윤경, 인공신경망을 이용한 세포 영상 분석 방법 및 세포 영상 처리 장치
  (ANALYSING METHOD FOR CELL IMAGE USING ARTIFICIAL NEURAL NETWORK AND IMAGE PROCESSING APPARATUS FOR CELL IMAGE).
  한국특허1020846830000, 2020.

• Project duration 2017-2019


• Related publication
  Kim, D., Min, Y., Oh, J.M. et al. AI-powered transmitted light microscopy for functional analysis of live cells. Sci Rep 9, 18428 (2019) doi:10.1038/s41598-019-54961-x
  
• Category Artificial Intelligence

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In-silico fluorescence stains

Generative Adversarial Network

In-silico fluorescence staining using generative adversarial network (GAN).

• Project duration 2019-current


• Related publication *Manuscript under preparation.


• Category Generative Adversarial Network

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Cancer typing

Deep Neural Network

Identify cancer types from blood driven particles using deep neural networks (variational encoder-decoder conjugated with convolutional neural networks).

• Project duration 2019-current


• Related publication *Manuscript under preparation.


• Category Deep Neural Network

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Finding tumor specific extracellular vesicles

Machine Learning

Breast cancer prediction from blood driven particles using machine learning algorithms.

• Project duration 2017-2019


• Related publication Kim, D., Woo, H.-K., Lee, C., Min, Y., Kumar, S., Sunkara, V., … Cho, Y.-K. (2020).
  EV-Ident: Identifying Tumor-Specific Extracellular Vesicles by Size Fractionation and Single-Vesicle Analysis. Analytical Chemistry, 92(8), 6010–6018.
  https://doi.org/10.1021/acs.analchem.0c00285


• Category Machine Learning

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Urinary tract infection diagnostics

Deep Neural Network

Classifying urinary tract infection from the diagnostic kit photograph using convolutional neural network.

• *Patents:


• 김동영, 미카엘 아이작, 기동엽, 조윤경, 원심력 기반 무전원 입자 농축장치 및 입자 농축방법
  (Centrifugal force based non-powered particle concentration apparatus and method of particle concentration).
  한국특허1021037840000, 2020.


• 김동영, 김치주, 기동엽, 조윤경, 원심력 기반 혈소판 분리 및 검진 장치
  (Centrifugal force based platelet isolation and testing system).
  한국특허1020638650000, 2020.

• Project duration 2017-2019


• Related publication *Kim, D., Michael, I., Gulenko, O., Kumar, S., Kumar, S., Clara, J., … Cho, Y.-K. (2020).
  A fidget spinner for the point-of-care diagnosis of urinary tract infection. Nature Biomedical Engineering.
  https://doi.org/10.1038/s41551-020-0557-2


• Category Deep Neural Network

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Extreme rare cancer diagnosis

Generative Adversarial Network

Finding extremely rare cancer event from blood using generative adversarial network.

• Project duration 2019-current


• Related publication *Manuscript under preparation.


• Category Generative Adversarial Network

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In-silico histology stains

Generative Adversarial Network

In-silico histology labeling using generative adversarial network.

• Project duration 2019-current


• Related publication *Manuscript under preparation.


• Category Generative Adversarial Network

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High definition medical image recovery

Generative Adversarial Network

Recovering high definition medical image from the low resolution using generative adversarial network.

• Project duration 2019-current


• Related publication *Manuscript under preparation.


• Category Generative Adversarial Network

Rapid medical image acquisition

Generative Adversarial Network

High resolution medical image recovery from a small subset of acquisition using generative adversarial network.

• Project duration 2019-current


• Related publication *Manuscript under preparation.


• Category Generative Adversarial Network

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