公开(公告)号：WO2016073745A3

公开(公告)日：2016-09-29

申请号：PCT/US2015059278

申请日：2015-11-05

Applicant: LUCAS RICHARD ,  BUNDERSON LANDON ,  ALLAN NATHAN ,  LAMBSON KEVN

Inventor： LUCAS RICHARD ,  BUNDERSON LANDON ,  ALLAN NATHAN ,  LAMBSON KEVN

IPC: B03C3/74

CPC classification number: G01N1/2273 ,  G01N15/0227 ,  G01N15/0612 ,  G01N15/1463 ,  G01N2001/2223 ,  G01N2015/0046 ,  G01N2015/0065 ,  G01N2015/1006 ,  G01N2015/1447 ,  G01N2015/1452 ,  G01N2015/1493 ,  G01N2035/00881 ,  H04N5/2256 ,  H04N5/2354

Abstract: The following is an apparatus and a method that enables the automated collection and identification of airborne particulate matter comprising dust, pollen grains, mold spores, bacterial cells, and soot from a gaseous medium comprising the ambient air. Once ambient air is inducted into the apparatus, aerosol particulates are acquired and imaged under a novel lighting environment that is used to highlight diagnostic features of the acquired airborne particulate matter. Identity determinations of acquired airborne particulate matter are made based on captured images. Abundance quantifications can be made using identity classifications. Raw and summary information are communicated across a data network for review or further analysis by a user. Other than routine maintenance or subsequent analyses, the basic operations of the apparatus may use, but do not require the active participation of a human operator.

Abstract translation: 以下是能够从包含环境空气的气体介质中自动收集和鉴定包含灰尘，花粉粒，霉菌孢子，细菌细胞和烟灰的空气传播的颗粒物质的装置和方法。 一旦环境空气被引入设备中，在新颖的照明环境下获取并成像气溶胶颗粒，该环境用于突出所获得的空气传播颗粒物质的诊断特征。 获取的空气中颗粒物的身份确定是基于捕获的图像进行的。 丰富的量化可以使用身份分类。 原始信息和摘要信息通过数据网络进行通信，供用户查看或进一步分析。 除了日常维护或后续分析之外，设备的基本操作可以使用，但不需要人操作者的积极参与。

公开(公告)号：WO2016073745A2

公开(公告)日：2016-05-12

申请号：PCT/US2015/059278

申请日：2015-11-05

Applicant: LUCAS, Richard ,  BUNDERSON, Landon ,  ALLAN, Nathan ,  LAMBSON, Kevn

Inventor： LUCAS, Richard ,  BUNDERSON, Landon ,  ALLAN, Nathan ,  LAMBSON, Kevn

IPC: G01N1/22 ,  H04N5/30

CPC classification number: G01N1/2273 ,  G01N15/0227 ,  G01N15/0612 ,  G01N15/0637 ,  G01N15/1475 ,  G01N2001/2223 ,  G01N2001/2291 ,  G01N2001/4038 ,  G01N2015/0046 ,  G01N2015/0065 ,  G01N2015/1006 ,  G01N2015/1493 ,  H04N5/2256 ,  H04N5/2354

Abstract: The following is an apparatus and a method that enables the automated collection and identification of airborne particulate matter comprising dust, pollen grains, mold spores, bacterial cells, and soot from a gaseous medium comprising the ambient air. Once ambient air is inducted into the apparatus, aerosol particulates are acquired and imaged under a novel lighting environment that is used to highlight diagnostic features of the acquired airborne particulate matter. Identity determinations of acquired airborne particulate matter are made based on captured images. Abundance quantifications can be made using identity classifications. Raw and summary information are communicated across a data network for review or further analysis by a user. Other than routine maintenance or subsequent analyses, the basic operations of the apparatus may use, but do not require the active participation of a human operator.

Abstract translation: 以下是能够从包含环境空气的气态介质中自动收集和鉴定包含灰尘，花粉粒，霉菌孢子，细菌细胞和烟尘的气载微粒物质的装置和方法。 一旦环境空气被引入到设备中，气溶胶颗粒被采集并且在用于突出显示所采集的气载颗粒物质的诊断特征的新颖照明环境下成像。 获取的空气颗粒物质的身份确定基于捕获的图像。 丰富的量化可以使用身份分类来进行。 原始信息和汇总信息通过数据网络进行传输，供用户查看或进一步分析。 除日常维护或后续分析外，设备的基本操作可能会使用，但不需要操作人员的积极参与。