公开(公告)号：US09615735B2

公开(公告)日：2017-04-11

申请号：US14548067

申请日：2014-11-19

Applicant: University of Rochester ,  The Arizona Board of Regents on Behalf of The University of Arizona

Inventor： Jinxin Huang ,  Jannick P. Rolland ,  Eric Clarkson ,  Matthew Kupinski

IPC: A61B3/10 ,  A61B3/00 ,  A61B3/113

CPC classification number: A61B3/101 ,  A61B3/0025 ,  A61B3/102 ,  A61B3/113

Abstract: Systems and methods for determining thickness of lipid and aqueous layers of a tear film in which a spectrum array is generated from optical coherence tomography and input into a statistical estimator, which determines the thickness of the lipid and/or aqueous layers at a nanometer resolution based on the inputted spectrum and other information, such as information about a laser intensity noise, Poisson noise, and dark noise associated with the OCT.

公开(公告)号：US20190254516A1

公开(公告)日：2019-08-22

申请号：US16398611

申请日：2019-04-30

Applicant: University of Rochester

Inventor： Jinxin Huang ,  Jannick P. Rolland

IPC: A61B3/10 ,  A61B3/113 ,  A61B3/00

Abstract: Systems and methods for assessing multi-layer structures in which a spectrum array is generated from low coherence interferometry and input into a statistical estimator, which determines the thickness and layer number based on the inputted spectrum and other information, including information about a source intensity noise, Poisson noise, and dark noise associated with the low coherence interferometry.

公开(公告)号：US20170188815A1

公开(公告)日：2017-07-06

申请号：US15461893

申请日：2017-03-17

Applicant: UNIVERSITY OF ROCHESTER ,  THE ARIZONA BOARD OF REGENTS ON BEHALF OF THE UNIVERSITY OF ARIZONA

Inventor： Jinxin Huang ,  Jannick P. Rolland ,  Eric Clarkson ,  Matthew Kupinski

IPC: A61B3/10 ,  A61B3/113 ,  A61B3/00

CPC classification number: A61B3/101 ,  A61B3/0025 ,  A61B3/102 ,  A61B3/113

Abstract: Systems and methods for determining thickness of lipid and aqueous layers of a tear film in which a spectrum array is generated from optical coherence tomography and input into a statistical estimator, which determines the thickness of the lipid and/or aqueous layers at a nanometer resolution based on the inputted spectrum and other information, such as information about a laser intensity noise, Poisson noise, and dark noise associated with the OCT.

公开(公告)号：US20150216407A1

公开(公告)日：2015-08-06

申请号：US14548067

申请日：2014-11-19

Applicant: University of Rochester ,  The Arizona Board of Regents on Behalf of The Univerity of Arizona

Inventor： Jinxin Huang ,  Jannick P. Rolland ,  Eric Clarkson ,  Matthew Kupinski

IPC: A61B3/10 ,  A61B3/113 ,  A61B3/00

CPC classification number: A61B3/101 ,  A61B3/0025 ,  A61B3/102 ,  A61B3/113

Abstract: Systems and methods for determining thickness of lipid and aqueous layers of a tear film in which a spectrum array is generated from optical coherence tomography and input into a statistical estimator, which determines the thickness of the lipid and/or aqueous layers at a nanometer resolution based on the inputted spectrum and other information, such as information about a laser intensity noise, Poisson noise, and dark noise associated with the OCT.

Abstract translation: 用于确定泪液的脂质和水层的厚度的系统和方法，其中从光学相干断层摄影产生光谱阵列并输入到统计估计器中，所述统计估计器以纳米分辨率为基础确定脂质和/或水层的厚度 关于输入光谱和其他信息，例如关于与OCT相关联的激光强度噪声，泊松噪声和暗噪声的信息。