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Patent Agency Ranking
公开(公告)号：US11320362B2
公开(公告)日：2022-05-03
申请号：US16333139
申请日：2017-09-22
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Alborz Feizi , Alon Greenbaum
Abstract: A lens-free microscope system for automatically analyzing yeast cell viability in a stained sample includes a portable, lens-free microscopy device that includes a housing containing a light source coupled to an optical fiber, the optical fiber spaced away several centimeters from an image sensor disposed at one end of the housing, wherein the stained sample is disposed on the image sensor or a sample holder adjacent to the image sensor. Hologram images are transferred to a computing device having image processing software contained therein, the image processing software identifying yeast cell candidates of interest from back-propagated images of the stained sample, whereby a plurality of spatial features are extracted from the yeast cell candidates of interest and subject to a trained machine learning model to classify the yeast cell candidates of interest as live or dead.
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2.发明授权公开(公告)号：US11422503B2
公开(公告)日：2022-08-23
申请号：US16952492
申请日：2020-11-19
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Alon Grinbaum , Yibo Zhang , Alborz Feizi , Wei Luo
Abstract: A method for lens-free imaging of a sample or objects within the sample uses multi-height iterative phase retrieval and rotational field transformations to perform wide FOV imaging of pathology samples with clinically comparable image quality to a benchtop lens-based microscope. The solution of the transport-of-intensity (TIE) equation is used as an initial guess in the phase recovery process to speed the image recovery process. The holographically reconstructed image can be digitally focused at any depth within the object FOV (after image capture) without the need for any focus adjustment, and is also digitally corrected for artifacts arising from uncontrolled tilting and height variations between the sample and sensor planes. In an alternative embodiment, a synthetic aperture approach is used with multi-angle iterative phase retrieval to perform wide FOV imaging of pathology samples and increase the effective numerical aperture of the image.
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3.发明申请公开(公告)号：US20170220000A1
公开(公告)日：2017-08-03
申请号：US15500880
申请日：2015-07-31
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Alon Greenbaum , Yibo Zhang , Alborz Feizi , Wei Luo
CPC classification number: G03H1/0005 , G01N15/1429 , G01N15/1434 , G01N15/1475 , G01N2015/1006 , G01N2015/144 , G01N2015/1445 , G01N2015/1454 , G03H1/0443 , G03H1/0866 , G03H1/0891 , G03H2001/005 , G03H2001/0447 , G03H2001/0454 , G03H2001/046 , G03H2001/0816 , G03H2001/0883 , G03H2001/2655 , G03H2210/42 , G03H2226/02 , G03H2227/03 , H04N5/2256 , H04N5/23238
Abstract: A method for lens-free imaging of a sample or objects within the sample uses multi-height iterative phase retrieval and rotational field transformations to perform wide FOV imaging of pathology samples with clinically comparable image quality to a benchtop lens-based microscope. The solution of the transport-of-intensity (TIE) equation is used as an initial guess in the phase recovery process to speed the image recovery process. The holographically reconstructed image can be digitally focused at any depth within the object FOV (after image capture) without the need for any focus adjustment, and is also digitally corrected for artifacts arising from uncontrolled tilting and height variations between the sample and sensor planes. In an alternative embodiment, a synthetic aperture approach is used with multi-angle iterative phase retrieval to perform wide FOV imaging of pathology samples and increase the effective numerical aperture of the image.
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公开(公告)号：US20210285864A1
公开(公告)日：2021-09-16
申请号：US16333139
申请日：2017-09-22
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Alborz Feizi , Alon Greenbaum
Abstract: A lens-free microscope system for automatically analyzing yeast cell viability in a stained sample includes a portable, lens-free microscopy device that includes a housing containing a light source coupled to an optical fiber, the optical fiber spaced away several centimeters from an image sensor disposed at one end of the housing, wherein the stained sample is disposed on the image sensor or a sample holder adjacent to the image sensor. Hologram images are transferred to a computing device having image processing software contained therein, the image processing software identifying yeast cell candidates of interest from back-propagated images of the stained sample, whereby a plurality of spatial features are extracted from the yeast cell candidates of interest and subject to a trained machine learning model to classify the yeast cell candidates of interest as live or dead.
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5.发明申请公开(公告)号：US20210181673A1
公开(公告)日：2021-06-17
申请号：US16952492
申请日：2020-11-19
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Alon Grinbaum , Yibo Zhang , Alborz Feizi , Wei Luo
Abstract: A method for lens-free imaging of a sample or objects within the sample uses multi-height iterative phase retrieval and rotational field transformations to perform wide FOV imaging of pathology samples with clinically comparable image quality to a benchtop lens-based microscope. The solution of the transport-of-intensity (TIE) equation is used as an initial guess in the phase recovery process to speed the image recovery process. The holographically reconstructed image can be digitally focused at any depth within the object FOV (after image capture) without the need for any focus adjustment, and is also digitally corrected for artifacts arising from uncontrolled tilting and height variations between the sample and sensor planes. In an alternative embodiment, a synthetic aperture approach is used with multi-angle iterative phase retrieval to perform wide FOV imaging of pathology samples and increase the effective numerical aperture of the image.
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