公开(公告)号：US20060146315A1

公开(公告)日：2006-07-06

申请号：US11364180

申请日：2006-03-01

Applicant: Patrick Treado

Inventor： Patrick Treado

IPC: G01J3/44 ,  G01N21/64 ,  G01N21/65

CPC classification number: G01N21/65 ,  G01J3/02 ,  G01J3/0224 ,  G01J3/0229 ,  G01J3/0256 ,  G01J3/0264 ,  G01J3/0272 ,  G01J3/0283 ,  G01J3/10 ,  G01J3/44 ,  G01J3/4406 ,  G01N21/6456 ,  G01N2021/6417 ,  G01N2021/6423 ,  G01N2021/6471 ,  G01N2201/0221 ,  G01N2201/0627 ,  G02F1/133371 ,  G02F1/1347

Abstract: The disclosure generally relates to a method and apparatus for compact dispersive imaging spectrometer. More specifically, one embodiment of the disclosure relates to a portable system for obtaining a spatially accurate wavelength-resolved image of a sample having a first and a second spatial dimension. The portable system can include a photon emission source for sequentially illuminating a plurality of portions of said sample with a plurality of photons to produce photons scattered by the sample. The photon emission source can illuminate the sample along the first spatial dimension for each of plural predetermined positions of the second spatial dimension. The system may also include an optical lens for collecting the scattered photons to produce therefrom filtered photons, a dispersive spectrometer for determining a wavelength of ones of the filtered photons, a photon detector for receiving the filtered photons and obtaining therefrom plural spectra of said sample, and a processor for producing a two dimensional image of said sample from the plural spectra.

Abstract translation: 本发明一般涉及紧凑型分散成像光谱仪的方法和装置。 更具体地，本公开的一个实施例涉及用于获得具有第一和第二空间维度的样本的空间上准确的波长分辨图像的便携式系统。 便携式系统可以包括光子发射源，用于用多个光子顺序照射所述样品的多个部分，以产生由样品散射的光子。 光子发射源可以沿着第一空间维度对第二空间维度的多个预定位置中的每一个照射样本。 该系统还可以包括用于收集散射光子以产生滤光光子的光学透镜，用于确定滤光光子中波长的波长的色散光谱仪，用于接收经滤光的光子并由此获得所述样品的多个光谱的光子检测器， 以及用于从所述多个光谱产生所述样本的二维图像的处理器。

公开(公告)号：US20060050278A1

公开(公告)日：2006-03-09

申请号：US11229539

申请日：2005-09-20

Applicant: Patrick Treado ,  Charles Gardner ,  Matthew Nelson

Inventor： Patrick Treado ,  Charles Gardner ,  Matthew Nelson

IPC: G01N21/25

CPC classification number: G01N21/255

Abstract: The disclosure relates to method and apparatus for obtaining a multimodal hyperspectral image of a sample for widefield spectral analysis. An apparatus according to one embodiment may include a plurality of optical lenses configured to interchangeably receive photons and focus the photons; a plurality of tunable filters positioned in a filter housing, each tunable filter selectively receiving the focused dispersed photons from one of the plurality of optical lenses, each tunable filter providing wavelength-selective filtered photons; a first optical camera and a second optical cameras for selectively receiving the wavelength-selective filtered photons from each of the plurality of tunable filters and combining said filtered photons to form a hyperspectral spatially accurate, wavelength-resolved image of the sample.

Abstract translation: 本公开涉及用于获得用于宽带光谱分析的样品的多峰高光谱图像的方法和装置。 根据一个实施例的装置可以包括多个配置成互换地接收光子并聚焦光子的光学透镜; 多个可调滤光器，其位于过滤器壳体中，每个可调谐滤光器选择性地从多个光学透镜中的一个透镜接收聚焦的分散的光子，每个可调谐滤光器提供波长选择性滤光的光子; 第一光学摄像机和第二光学摄像机，用于从多个可调谐滤光器中的每一个选择性地接收波长选择性滤波的光子，并组合所述滤波的光子以形成样品的高光谱空间准确的波长分辨图像。

公开(公告)号：US20060049354A1

公开(公告)日：2006-03-09

申请号：US11257139

申请日：2005-10-24

Applicant: Patrick Treado ,  Matthew Nelson ,  Scott Keitzer

Inventor： Patrick Treado ,  Matthew Nelson ,  Scott Keitzer

IPC: G01J5/02

CPC classification number: G01N21/359 ,  G01J3/2823 ,  G02B21/0016 ,  G02B21/06

Abstract: A chemical imaging system is provided which uses a near infrared radiation microscope. The system includes an illumination source which illuminates an area of a sample using light in the near infrared radiation wavelength and light in the visible wavelength. A multitude of spatially resolved spectra of transmitted, reflected, emitted or scattered near infrared wavelength radiation light from the illuminated area of the sample is collected and a collimated beam is produced therefrom. A near infrared imaging spectrometer is provided for selecting a near infrared radiation image of the collimated beam. The filtered images are collected by a detector for further processing. The visible wavelength light from the illuminated area of the sample is simultaneously detected providing for the simultaneous visible and near infrared chemical imaging analysis of the sample. Two efficient means for performing three dimensional near infrared chemical imaging microscopy are provided.

公开(公告)号：US20060036181A1

公开(公告)日：2006-02-16

申请号：US11204196

申请日：2005-08-09

Applicant: Patrick Treado ,  Matthew Nelson

Inventor： Patrick Treado ,  Matthew Nelson

IPC: A61B6/00 ,  A61B18/18 ,  G01J3/44 ,  G01J3/40 ,  A61B5/00

CPC classification number: A61B5/0091 ,  A61B5/4312 ,  G01N21/65

Abstract: Apparatus and methods for spatially resolved Raman chemical imaging of breast tissue is disclosed. A region of breast tissue is illuminated with monochromatic light. A spatially organized area of endogenous molecules in the tissue is then detected in the region by detecting a Raman shifted light signal. The Raman shifted light signal is spatially resolved in at least one direction and is thus useful for examining breast tissue, especially to detect malignant tissue.

Abstract translation: 公开了用于乳腺组织的空间分辨拉曼化学成像的装置和方法。 乳腺组织区域用单色光照射。 然后通过检测拉曼移动的光信号在该区域中检测组织中的内分子的空间有组织的区域。 拉曼移动的光信号在至少一个方向上被空间分辨，因此可用于检查乳腺组织，特别是用于检测恶性组织。

公开(公告)号：US11145411B2

公开(公告)日：2021-10-12

申请号：US14440987

申请日：2013-11-06

Applicant: CHEMIMAGE CORPORATION ,  Patrick Treado ,  Shona Stewart ,  Heather Kirschner ,  Ryan Priore ,  Alan Wilson

Inventor： Patrick Treado ,  Shona Stewart ,  Heather Kirschner ,  Ryan Priore ,  Alan Wilson

IPC: G01N21/65 ,  G01N33/49 ,  G16H50/20 ,  G16B40/00 ,  G01N33/574 ,  G01J3/44 ,  G01J3/18

Abstract: A system and method for analyzing biological samples, such as dried human blood serum, to determine a disease state such as colorectal cancer (CRC). Using dried samples may hold potential for enhancing localized concentration and/or segmentation of sample components. The method may comprise illuminating at least one location of a biological sample to generate a plurality of interacted photons, collecting the interacted photons and generating at least one Raman data set representative of the biological sample. A system may comprise an illumination source to illuminate at least one location of a biological sample and generate at least one plurality of interacted photons, at least one mirror for directing the interacted photons to a detector. The detector may be configured to generate at least one Raman data set representative of the biological sample. The system and method may utilize a FAST device for multipoint analysis or may be configured to analyze a sample using a line scanning configuration.

公开(公告)号：US08994934B1

公开(公告)日：2015-03-31

申请号：US13373333

申请日：2011-11-10

Applicant: Matthew Nelson ,  Patrick Treado ,  Robert Schweitzer ,  Robert D'Agostino

Inventor： Matthew Nelson ,  Patrick Treado ,  Robert Schweitzer ,  Robert D'Agostino

IPC: G01N21/00 ,  G01N33/00 ,  G01J3/02

CPC classification number: G01N33/0057 ,  G01J3/02 ,  G01J3/027 ,  G01J3/44 ,  G01J5/0846 ,  G01J5/0859 ,  G01J2005/0077 ,  H04N5/23219

Abstract: The present disclosure provides for a system and method for detecting and identifying unknown targets. At least one region of interest comprising an unknown target in a sample scene may be targeted using SWIR spectroscopic techniques. A region of interest may be surveyed to thereby determine whether or not a human is present. This surveying may be achieved my assessing LWIR data, data acquired from motion sensors, and combinations thereof. If no human is present in a region of interest, the region may be interrogated using Raman spectroscopic techniques to thereby obtain a Raman data set representative of the region of interest. This Raman data set may be assessed to thereby identify said unknown target. This assessment may be achieved by comparing the Raman data set to a reference data sets in a reference database, where each reference data set is associated with a known target.

Abstract translation: 本公开提供了用于检测和识别未知目标的系统和方法。 可以使用SWIR光谱技术来对包含样本场景中的未知目标的至少一个感兴趣区域进行定位。 可以调查感兴趣的区域，从而确定人是否存在。 本次测量可能会实现我对LWIR数据的评估，运动传感器获取的数据及其组合。 如果感兴趣区域中没有人存在，则可以使用拉曼光谱技术询问该区域，从而获得表示感兴趣区域的拉曼数据集。 可以评估该拉曼数据集，从而识别所述未知目标。 可以通过将拉曼数据集与参考数据库中的参考数据集进行比较来实现该评估，其中每个参考数据集与已知目标相关联。

公开(公告)号：US08553210B2

公开(公告)日：2013-10-08

申请号：US13209688

申请日：2011-08-15

Applicant: Jeffrey Beckstead ,  Patrick Treado ,  Matthew Nelson

Inventor： Jeffrey Beckstead ,  Patrick Treado ,  Matthew Nelson

IPC: G01N21/00

CPC classification number: G01J3/02 ,  G01J3/0208 ,  G01J3/0218 ,  G01J3/0272 ,  G01J3/28 ,  G01J3/44 ,  G01J3/443 ,  G01N21/35 ,  G01N21/6402 ,  G01N21/6456 ,  G01N21/65 ,  G01N21/658 ,  G01N21/718 ,  G01N2021/6423 ,  G01N2201/0221 ,  G01N2201/06113 ,  G01N2201/08 ,  G01N2201/101 ,  G01N2201/1087

Abstract: A system and method for locating and identifying unknown samples. A targeting mode may be utilized to scan regions of interest for potential unknown materials. This targeting mode may interrogate regions of interest using SWIR and/or fluorescence spectroscopic and imaging techniques. Unknown samples detected in regions of interest may be further interrogated using a combination of Raman and LIBS techniques to identify the unknown samples. Structured illumination may be used to interrogate an unknown sample. Data sets generated during interrogation may be compared to a reference database comprising a plurality of reference data sets, each associated with a known material. The system and method may be used to identify a variety of materials including: biological, chemical, explosive, hazardous, concealment, and non-hazardous materials.

Abstract translation: 用于定位和识别未知样品的系统和方法。 可以利用定位模式来扫描潜在未知材料的感兴趣区域。 这种瞄准模式可以使用SWIR和/或荧光光谱和成像技术来询问感兴趣的区域。 可以使用拉曼和LIBS技术的组合进一步询问在感兴趣区域中检测到的未知样品，以识别未知样品。 结构化照明可用于询问未知样品。 在询问期间生成的数据集可以与包括多个参考数据集的参考数据库进行比较，每个参考数据集与已知的资料相关联。 该系统和方法可用于识别各种材料，包括：生物，化学，爆炸，危险，隐蔽和非危险材料。

公开(公告)号：US08547540B2

公开(公告)日：2013-10-01

申请号：US13209670

申请日：2011-08-15

Applicant: Jeffrey Beckstead ,  Patrick Treado ,  Matthew Nelson

Inventor： Jeffrey Beckstead ,  Patrick Treado ,  Matthew Nelson

IPC: G01N21/00

CPC classification number: G01J3/02 ,  G01J3/0218 ,  G01J3/0272 ,  G01J3/28 ,  G01J3/44 ,  G01J3/443 ,  G01N21/6456 ,  G01N21/65 ,  G01N21/718 ,  G01N2201/0221 ,  G01N2201/08

Abstract: A system and method for locating and identifying unknown samples. A targeting mode may be utilized to scan regions of interest for potential unknown materials. This targeting mode may interrogate regions of interest using SWIR and/or fluorescence spectroscopic and imaging techniques. Unknown samples detected in regions of interest may be further interrogated using a combination of Raman and LIBS techniques to identify the unknown samples. Structured illumination may be used to interrogate an unknown sample. Data sets generated during interrogation may be compared to a reference database comprising a plurality of reference data sets, each associated with a known material. The system and method may be used to identify a variety of materials including: biological, chemical, explosive, hazardous, concealment, and non-hazardous materials.

Abstract translation: 用于定位和识别未知样品的系统和方法。 可以利用定位模式来扫描潜在未知材料的感兴趣区域。 这种瞄准模式可以使用SWIR和/或荧光光谱和成像技术来询问感兴趣的区域。 可以使用拉曼和LIBS技术的组合进一步询问在感兴趣区域中检测到的未知样品，以识别未知样品。 结构化照明可用于询问未知样品。 在询问期间生成的数据集可以与包括多个参考数据集的参考数据库进行比较，每个参考数据集与已知的资料相关联。 该系统和方法可用于识别各种材料，包括：生物，化学，爆炸，危险，隐蔽和非危险材料。

公开(公告)号：US20120134582A1

公开(公告)日：2012-05-31

申请号：US13193860

申请日：2011-07-29

Applicant: Patrick Treado ,  Robert Schewitzer ,  Jason Neiss

Inventor： Patrick Treado ,  Robert Schewitzer ,  Jason Neiss

IPC: G06K9/00

CPC classification number: G01J3/28

Abstract: A system and method for identifying an unknown substance in a sample comprising multiple entities. A method may comprise generating a RGB image representative of a sample and assessing said RGB image to identify at least one region of interest. This region of interest may he assessed to generate a spatially accurate wavelength resolved image, which may be a hyperspectral image. This spatially accurate wavelength resolved image may comprise a fluorescence, Raman, near infrared, short wave infrared, mid wave infrared and/or long wave infrared image. This spatially accurate wavelength resolved image may be assessed to identify said unknown substance. A system may comprise: a reference database, a first detector for generating an RGB image, a second detector for generating a spatially accurate wavelength resolved image, and a means for assessing said RGB image and said spatially accurate wavelength resolved image.

Abstract translation: 一种用于识别包含多个实体的样品中的未知物质的系统和方法。 方法可以包括生成代表样本的RGB图像并评估所述RGB图像以识别至少一个感兴趣的区域。 他可以评估该感兴趣的区域以产生空间准确的波长分辨图像，其可以是高光谱图像。 该空间准确的波长分辨图像可以包括荧光，拉曼，近红外，短波红外，中波红外和/或长波红外图像。 可以评估该空间上准确的波长分辨图像以识别所述未知物质。 系统可以包括：参考数据库，用于产生RGB图像的第一检测器，用于产生空间上精确的波长分辨图像的第二检测器，以及用于评估所述RGB图像和所述空间上精确的波长分辨图像的装置。

公开(公告)号：US20120062874A1

公开(公告)日：2012-03-15

申请号：US13209670

申请日：2011-08-15

Applicant: Jeffrey Beckstead ,  Patrick Treado ,  Matthew Nelson

Inventor： Jeffrey Beckstead ,  Patrick Treado ,  Matthew Nelson

IPC: G01N21/00

CPC classification number: G01J3/02 ,  G01J3/0218 ,  G01J3/0272 ,  G01J3/28 ,  G01J3/44 ,  G01J3/443 ,  G01N21/6456 ,  G01N21/65 ,  G01N21/718 ,  G01N2201/0221 ,  G01N2201/08

Abstract: A system and method for locating and identifying unknown samples. A targeting mode may be utilized to scan regions of interest for potential unknown materials. This targeting mode may interrogate regions of interest using SWIR and/or fluorescence spectroscopic and imaging techniques. Unknown samples detected in regions of interest may be further interrogated using a combination of Raman and LIBS techniques to identify the unknown samples. Structured illumination may be used to interrogate an unknown sample. Data sets generated during interrogation may be compared to a reference database comprising a plurality of reference data sets, each associated with a known material. The system and method may be used to identify a variety of materials including: biological, chemical, explosive, hazardous, concealment, and non-hazardous materials.

Abstract translation: 用于定位和识别未知样品的系统和方法。 可以利用定位模式来扫描潜在未知材料的感兴趣区域。 这种瞄准模式可以使用SWIR和/或荧光光谱和成像技术来询问感兴趣的区域。 可以使用拉曼和LIBS技术的组合进一步询问在感兴趣区域中检测到的未知样品，以识别未知样品。 结构化照明可用于询问未知样品。 在询问期间生成的数据集可以与包括多个参考数据集的参考数据库进行比较，每个参考数据集与已知的资料相关联。 该系统和方法可用于识别各种材料，包括：生物，化学，爆炸，危险，隐蔽和非危险材料。