IDENTIFYING THE QUALITY OF THE CELL IMAGES ACQUIRED WITH DIGITAL HOLOGRAPHIC MICROSCOPY USING CONVOLUTIONAL NEURAL NETWORKS

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EP 3 669 227 B8

(12)	CORRECTED EUROPEAN PATENT SPECIFICATION
	Note: Bibliography reflects the latest situation

(15)	Correction information:
	Corrected version no 1 (W1 B1)

(48)	Corrigendum issued on:
	28.02.2024 Bulletin 2024/09

(45)	Mention of the grant of the patent:
	20.12.2023 Bulletin 2023/51

(21)	Application number: 18748860.6

(22)	Date of filing: 06.07.2018

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International Patent Classification (IPC):

G06V 20/69^(2022.01)
G06V 10/82^(2022.01)

G06V 10/98^(2022.01)
G06V 10/764^(2022.01)

(52)	Cooperative Patent Classification (CPC):
	G02B 21/244; G03H 1/0866; G03H 2001/005; G06V 20/695; G06V 10/993; G06V 10/82; G06V 10/764

(86)	International application number:
	PCT/EP2018/068345

(87)	International publication number:
	WO 2019/034328 (21.02.2019 Gazette 2019/08)

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IDENTIFYING THE QUALITY OF THE CELL IMAGES ACQUIRED WITH DIGITAL HOLOGRAPHIC MICROSCOPY USING CONVOLUTIONAL NEURAL NETWORKS

IDENTIFIZIERUNG DER QUALITÄT DER ZELLBILDER, DIE MIT DIGITALER HOLOGRAPHISCHER MIKROSKOPIE UNTER VERWENDUNG VON NEURONALEN FALTUNGSNETZWERKEN ERFASST WERDEN

IDENTIFICATION DE LA QUALITÉ DES IMAGES CELLULAIRES ACQUISES AU MOYEN D'UNE MICROSCOPIE HOLOGRAPHIQUE NUMÉRIQUE À L'AIDE DE RÉSEAUX NEURONAUX CONVOLUTIONNELS

(84)	Designated Contracting States:
	AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

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Priority:

15.08.2017 US 201762545517 P

(43)	Date of publication of application:
	24.06.2020 Bulletin 2020/26

(73)	Proprietor: Siemens Healthineers AG
	91301 Forchheim (DE)

(72)	Inventors:
	EL-ZEHIRY, Noha Youssry Plainsboro NJ 08536 (US) KAMEN, Ali Skillman NJ 08558 (US) RAPAKA, Saikiran Pennington NJ 08534 (US)

(74)	Representative: Bals & Vogel Patentanwälte PartGmbB
	Sendlinger Strasse 42A 80331 München 80331 München (DE)

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References cited: :

EP-B1- 1 210 634

US-A1- 2012 258 547

ZEDER M ET AL: "Automated quality assessment of autonomously acquired microscopic images of fluorescently stained bacteria", CYTOMETRY. PART A, JOHN WILEY & SONS, INC, US, vol. 77, no. 1, 1 January 2010 (2010-01-01), pages 76-85, XP002664838, ISSN: 1552-4930, DOI: 10.1002/CYTO.A.20810 [retrieved on 2009-10-09]
PETR MATULA ET AL: "Single-cell-based image analysis of high-throughput cell array screens for quantification of viral infection", CYTOMETRY PART A, vol. 75A, no. 4, 1 April 2009 (2009-04-01) , pages 309-318, XP055082695, ISSN: 1552-4922, DOI: 10.1002/cyto.a.20662
SAMUELJ YANG ET AL: "Assessing microscope image focus quality with deep learning", BMC BIOINFORMATICS, BIOMED CENTRAL LTD, LONDON, UK, vol. 19, no. 1, 15 March 2018 (2018-03-15) , pages 1-9, XP021254534, DOI: 10.1186/S12859-018-2087-4
M. ZEDER ET AL: "Multispot live-image autofocusing for high-throughput microscopy of fluorescently stained bacteria", NIH PUBLIC ACCESS AUTHOR MANUSCRIPT, vol. 75A, no. 9, 1 September 2009 (2009-09-01), pages 781-788, XP055521118, ISSN: 1552-4922, DOI: 10.1002/cyto.a.20770
Pitkäaho Tomi ET AL: "Performance of Autofocus Capability of Deep Convolutional Neural Networks in Digital Holographic Microscopy", Digital Holography and Three-Dimensional Imaging, 1 January 2016 (2016-01-01), page W2A.5, XP055839489, Washington, D.C. DOI: 10.1364/DH.2017.W2A.5 ISBN: 978-1-943580-28-6 Retrieved from the Internet: URL:https://www.osapublishing.org/DirectPD FAccess/00969BDA-4EFA-4134-986D197329CFF2D B_366911/DH-2017-W2A.5.pdf?da=1&id=366911& uri=DH-2017-W2A.5&seq=0&mobile=no>
Anonymous: "Convolutional neural network - Wikipedia", , 17 August 2016 (2016-08-17), XP055697578, Retrieved from the Internet: URL:https://en.wikipedia.org/w/index.php?t itle=Convolutional_neural_network&oldid=73 4940910 [retrieved on 2020-05-20]
HAN LIANG ET AL: "Transferring Microscopy Image Modalities with Conditional Generative Adversarial Networks", 2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), IEEE, 21 July 2017 (2017-07-21), pages 851-859, XP033145860, DOI: 10.1109/CVPRW.2017.118 [retrieved on 2017-08-22]

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