公开(公告)号：US20180012746A1

公开(公告)日：2018-01-11

申请号：US15548275

申请日：2016-02-08

Applicant: Zheng OUYANG ,  Yue REN ,  Xiao WANG ,  Purdue Research Foundation

Inventor： Zheng Ouyang ,  Yue Ren ,  Xiao Wang

IPC: H01J49/04

CPC classification number: H01J49/0409 ,  H01J49/0445 ,  H01J49/167

Abstract: The invention generally relates to probes, systems, cartridges, and methods of use thereof. In certain embodiments, the invention provides a probe including a porous material and a hollow member coupled to a distal portion of the porous material.

公开(公告)号：US09960028B2

公开(公告)日：2018-05-01

申请号：US15318846

申请日：2015-06-16

Applicant: Purdue Research Foundation

Inventor： Zheng Ouyang ,  Xiao Wang ,  Xiaoyu Zhou

IPC: H01J37/04 ,  H01J49/04 ,  H01J49/24 ,  H01J49/00

CPC classification number: H01J49/04 ,  H01J49/0013 ,  H01J49/0468 ,  H01J49/24

Abstract: The invention generally relates to systems and methods for analyzing a sample from a surface. In certain aspects, the invention provides systems that include a sample introduction member that has an inlet, an outlet, and an opening along a wall of the sample introduction member. The sample introduction member may be configured such that the opening couples with a surface that includes a sample in a manner in which molecules of the sample enter the sample introduction member via the opening and exit the sample introduction member via the outlet. A mass spectrometer is configured to receive the molecules of the sample.

公开(公告)号：US20170140912A1

公开(公告)日：2017-05-18

申请号：US15318846

申请日：2015-06-16

Applicant: Purdue Research Foundation

Inventor： Zheng Ouyang ,  Xiao Wang ,  Xiaoyu Zhou

IPC: H01J49/04 ,  H01J49/00 ,  H01J49/24

CPC classification number: H01J49/04 ,  H01J49/0013 ,  H01J49/0468 ,  H01J49/24

Abstract: The invention generally relates to systems and methods for analyzing a sample from a surface. In certain aspects, the invention provides systems that include a sample introduction member that has an inlet, an outlet, and an opening along a wall of the sample introduction member. The sample introduction member may be configured such that the opening couples with a surface that includes a sample in a manner in which molecules of the sample enter the sample introduction member via the opening and exit the sample introduction member via the outlet. A mass spectrometer is configured to receive the molecules of the sample.

公开(公告)号：US10381209B2

公开(公告)日：2019-08-13

申请号：US15548275

申请日：2016-02-08

Applicant: Purdue Research Foundation ,  Zheng Ouyang ,  Yue Ren ,  Xiao Wang

Inventor： Zheng Ouyang ,  Yue Ren ,  Xiao Wang

IPC: H01J49/04 ,  H01J49/16

Abstract: The invention generally relates to probes, systems, cartridges, and methods of use thereof. In certain embodiments, the invention provides a probe including a porous material and a hollow member coupled to a distal portion of the porous material.

公开(公告)号：US20180025514A1

公开(公告)日：2018-01-25

申请号：US15550980

申请日：2016-02-16

Applicant: Purdue Research Foundation ,  HIGH PERFORMANCE IMAGING, INC.

Inventor： Charles Addison Bouman ,  Samuel Pratt Midkiff ,  Sherman Jordan Kisner ,  Xiao Wang

IPC: G06T11/00 ,  G06T15/08 ,  A61B6/00 ,  G06T1/60

CPC classification number: G06T11/008 ,  A61B6/032 ,  A61B6/5205 ,  G06T1/60 ,  G06T11/006 ,  G06T15/08 ,  G06T2211/421 ,  G06T2211/424

Abstract: Systems and methods for MBIR reconstruction utilizing a super-voxel approach are provided. A super-voxel algorithm is an optimization algorithm that, as with ICD, produces rapid and geometrically agnostic convergence to the MBIR reconstruction by processing super-voxels which comprise a plurality of voxels whose corresponding memory entries substantially overlap. The voxels in the super-voxel may also be localized or adjacent to one another in the image. In addition, the super-voxel algorithm straightens the memory in the “sinogram” that contains the measured CT data so that both data and intermediate results of the computation can be efficiently accessed from high-speed memory and cache on a computer, GPU, or other high-performance computing hardware. Therefore, each iteration of the super-voxel algorithm runs much faster by more efficiently using the computing hardware.