Title:
CELL VIABILITY ANALYSIS AND COUNTING FROM HOLOGRAMS BY USING DEEP LEARNING AND APPROPRIATE LENSLESS HOLOGRAPHIC MICROSCOPE
Document Type and Number:
WIPO Patent Application WO/2021/076075
Kind Code:
A3
Abstract:
The invention is a holographic microscope (1) which detects the difference between the dead and live cells directly from the hologram images by training the deep learning based convolutional neural network and then makes predictions for viability analysis from the cell holograms obtained from the new samples (A) that were not used for training, and does not contain lens, mirror and similar optical elements, characterized in that, it comprises the following; a light source (10) which can be a laser or a light emitting diode (LED), an image sensor (30) which captures the images, a microfluidic chip (20) where the sample (A) located, a convolutional neural network which is formed in a server, is trained by predefining the hologram and/or phase images of dead and live cells, which are stained with Trypan blue or not and are stationary or flowing, and enable to make viability analysis to the samples (A).
Inventors:
TEKİN HÜSEYIN CUMHUR (TR)
ÖZUYSAL MUSTAFA (TR)
ÖZÇİVİCİ ENGIN (TR)
DELİKOYUN KEREM (TR)
ÇİNE ERSIN (TR)
ÖZUYSAL MUSTAFA (TR)
ÖZÇİVİCİ ENGIN (TR)
DELİKOYUN KEREM (TR)
ÇİNE ERSIN (TR)
Application Number:
PCT/TR2020/050485
Publication Date:
June 17, 2021
Filing Date:
June 04, 2020
Export Citation:
Assignee:
IZMIR YUEKSEK TEKNOLOJI ENSTITUESUE (TR)
International Classes:
G02B21/00; G01N33/48; G06K9/62
Domestic Patent References:
| WO2019191697A1 | 2019-10-03 | |||
| WO2019171546A1 | 2019-09-12 | |||
| WO2019180848A1 | 2019-09-26 |
Attorney, Agent or Firm:
SADE DANISMANLIK PATENT ARGE HIZMETLERI TICARET LIMITED SIRKETI (TR)
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