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公开(公告)号：US20180239936A1
公开(公告)日：2018-08-23
申请号：US15551565
申请日：2016-02-16
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Stefan Kluckner , Yao-Jen Chang , Wen Wu , Benjamin Pollack , Terrence Chen
CPC classification number: G06K7/10722 , B01L3/5453 , G01N35/00732 , G01N2035/00752 , G06K7/1413 , G06K7/1439 , G06K7/1491 , G06K9/629 , G06K2209/19
Abstract: Barcode tag conditions on sample tubes are detected utilizing side view images of sample tubes for streamlining handling in clinical laboratory automation systems. The condition of the tags may be classified into classes, each divided into a list of additional subcategories that cover individual characteristics of the tag quality. According to an embodiment, a tube characterization station (TCS) is utilized to obtain the side view images. The TCS enables the simultaneous or near-simultaneous collection of three images for each tube, resulting in a 360 degree side view for each tube. The method is based on a supervised scene understanding concept, resulting in an explanation of each pixel into its semantic meaning. Two parallel low-level cues for condition recognition, in combination with a tube model extraction cue, may be utilized. The semantic scene information is then integrated into a mid-level representation for final decision making into one of the condition classes.
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2.发明申请公开(公告)号：US20180046883A1
公开(公告)日：2018-02-15
申请号：US15551566
申请日：2016-02-16
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Khurram Soomro , Yao-Jen Chang , Stefan Kluckner , Wen Wu , Benjamin Pollack , Terrence Chen
IPC: G06K9/62 , G06K9/20 , G06K9/46 , B01L9/06 , G06T7/11 , G06K7/14 , G01N35/00 , B01L3/00 , G06T7/00 , G06K9/78
CPC classification number: G06K9/6269 , B01L3/5453 , B01L9/06 , B01L2200/143 , B01L2300/021 , B01L2300/0809 , G01N35/00613 , G01N35/00732 , G01N2035/00752 , G06K7/1413 , G06K9/2063 , G06K9/3233 , G06K9/46 , G06K9/6256 , G06K9/6277 , G06K9/78 , G06K2209/057 , G06T7/0012 , G06T7/11 , G06T2207/30204
Abstract: Embodiments are directed to classifying barcode tag conditions on sample tubes from top view images to streamline sample tube handling in advanced clinical laboratory automation systems. The classification of barcode tag conditions leads to the automatic detection of problematic barcode tags, allowing for a user to take necessary steps to fix the problematic barcode tags. A vision system is utilized to perform the automatic classification of barcode tag conditions on sample tubes from top view images. The classification of barcode tag conditions on sample tubes from top view images is based on the following factors: (1) a region-of-interest (ROI) extraction and rectification method based on sample tube detection; (2) a barcode tag condition classification method based on holistic features uniformly sampled from the rectified ROI; and (3) a problematic barcode tag area localization method based on pixel-based feature extraction.
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公开(公告)号：US10824832B2
公开(公告)日：2020-11-03
申请号：US15551565
申请日：2016-02-16
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Stefan Kluckner , Yao-Jen Chang , Wen Wu , Benjamin Pollack , Terrence Chen
Abstract: Barcode tag conditions on sample tubes are detected utilizing side view images of sample tubes for streamlining handling in clinical laboratory automation systems. The condition of the tags may be classified into classes, each divided into a list of additional subcategories that cover individual characteristics of the tag quality. According to an embodiment, a tube characterization station (TCS) is utilized to obtain the side view images. The TCS enables the simultaneous or near-simultaneous collection of three images for each tube, resulting in a 360 degree side view for each tube. The method is based on a supervised scene understanding concept, resulting in an explanation of each pixel into its semantic meaning. Two parallel low-level cues for condition recognition, in combination with a tube model extraction cue, may be utilized. The semantic scene information is then integrated into a mid-level representation for final decision making into one of the condition classes.
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公开(公告)号：US20180164335A1
公开(公告)日：2018-06-14
申请号：US15891918
申请日：2018-02-08
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Benjamin Pollack , Ryan German
CPC classification number: G01N35/00732 , G01N35/00603 , G01N35/026 , G01N35/04 , G01N2035/00752 , G01N2035/0406 , G01N2035/0467 , G01N2035/0491 , G01N2035/0493 , G01N2035/0494
Abstract: Systems and methods for use in an in vitro diagnostics setting may include an automation track, a plurality of carriers configured to carry a plurality of sample vessels along the automation track, and a characterization station including a plurality of optical devices. A processor, in communication with the characterization station, can be configured to analyze images to automatically characterize physical attributes related to each carrier and/or sample vessel. A method may include receiving a plurality of images from a plurality of optical devices of a characterization station, wherein the plurality of images comprise images from a plurality of perspectives of a sample vessel being transported by a carrier, automatically analyzing the plurality of images, using a processor, to determine certain characteristics of the sample vessel, and automatically associating the characteristics of the sample vessel with the carrier in a database.
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5.发明授权公开(公告)号：US10325182B2
公开(公告)日：2019-06-18
申请号：US15551566
申请日：2016-02-16
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Khurram Soomro , Yao-Jen Chang , Stefan Kluckner , Wen Wu , Benjamin Pollack , Terrence Chen
IPC: G06K9/32 , G06K9/46 , G06K9/62 , B01L3/00 , B01L9/06 , G01N35/00 , G06T7/11 , G06K7/14 , G06K9/20 , G06K9/78 , G06T7/00
Abstract: Embodiments are directed to classifying barcode tag conditions on sample tubes from top view images to streamline sample tube handling in advanced clinical laboratory automation systems. The classification of barcode tag conditions leads to the automatic detection of problematic barcode tags, allowing for a user to take necessary steps to fix the problematic barcode tags. A vision system is utilized to perform the automatic classification of barcode tag conditions on sample tubes from top view images. The classification of barcode tag conditions on sample tubes from top view images is based on the following factors: (1) a region-of-interest (ROI) extraction and rectification method based on sample tube detection; (2) a barcode tag condition classification method based on holistic features uniformly sampled from the rectified ROI; and (3) a problematic barcode tag area localization method based on pixel-based feature extraction.
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Patent Agency Ranking
公开(公告)号：US20180047150A1
公开(公告)日：2018-02-15
申请号：US15551570
申请日：2016-02-16
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Yao-Jen Chang , Wen Wu , Guillaume Dumont , Benjamin Pollack , Terrence Chen
CPC classification number: G06T7/0004 , G06K9/00208 , G06K9/3233 , G06K9/4604 , G06K9/4661 , G06K9/6205 , G06T7/0008 , G06T7/11 , G06T7/12 , G06T7/13 , G06T7/60 , G06T2207/30108 , G06T2207/30164
Abstract: Embodiments provide a method of using image-based tube top circle detection that includes extracting, from one of a series of images of a tube tray, a region of interest (ROI) patch having a target tube top circle and boundaries constrained by two dimensional (2D) projections of different types of tube top circle centers. The method also includes calculating an edge gradient magnitude map of the ROI patch and constructing a three dimensional (3D) map of a circle parameter space, each location in the 3D map corresponding to a circle parameter having a center location and a diameter. The method further includes accumulating weighted votes in the 3D map from edge points in the edge gradient magnitude map along edge point gradient directions, determining locations in the 3D map as circle candidates based on the accumulated votes and selecting a target tube top circle based on the greatest accumulated votes.
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公开(公告)号：US20180033140A1
公开(公告)日：2018-02-01
申请号：US15551571
申请日：2016-02-16
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Wen Wu , Benjamin Pollack , Yao-Jen Chang , Guillaume Dumont , Terrence Chen
CPC classification number: G06T7/0012 , G01N35/00732 , G01N35/00871 , G01N2035/00881 , G01N2035/0091 , G01N2035/0498 , G06K9/4604 , G06K9/6227 , G06K9/6261 , G06K9/6267 , G06T7/0008 , G06T7/12 , G06T7/74 , G06T2207/30108 , H04N5/2256 , H04N5/247
Abstract: A method for detecting properties of sample tubes is provided that includes extracting image patches substantially centered on a tube slot of a tray or a tube top in a slot. For each image patch, the method may include assigning a first location group defining whether the image patch is an image center, a corner of an image or a middle edge of an image, selecting a trained classifier based on the first location group and determining whether each tube slot contains a tube. The method may also include assigning a second location group defining whether the image patch is from an image center, a left corner of the image, a right corner of the image, a left middle of the image; a center middle of the image or a right middle of the image, selecting a trained classifier based on the second location group and determining a tube property.
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公开(公告)号：US20170124704A1
公开(公告)日：2017-05-04
申请号：US15317497
申请日：2015-06-10
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Wen Wu , Yao-Jen Chang , David Liu , Benjamin Pollack , Terrence Chen
IPC: G06T7/00 , G05B21/02 , G01N21/952 , G06T7/80 , G01C11/06
CPC classification number: G06T7/0012 , G01C11/06 , G01N21/952 , G01N35/00732 , G01N2035/0418 , G01N2035/0498 , G05B21/00 , G05B21/02 , G06K9/6282 , G06T7/0008 , G06T7/80 , G06T2207/20081 , G06T2207/30024 , G06T2207/30072 , G06T2207/30204
Abstract: Methods and systems for detecting properties of sample tubes in a laboratory environment include a drawer vision system that can be trained and calibrated. Images of a tube tray captured by at least one camera are analyzed to extract image patches that allow a processor to automatically determine if a tube slot is occupied, if the tube has a cap, and if the tube has a tube top cup. The processor can be trained using a random forest technique and a plurality of training image patches. Cameras can be calibrated using a three-dimensional calibration target that can be inserted into the drawer.
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公开(公告)号：US20160327583A1
公开(公告)日：2016-11-10
申请号：US15111295
申请日：2015-01-23
Applicant: SIEMENS HEALTHCARE DIAGNOSTICS INC.
Inventor： Benjamin Pollack
CPC classification number: G01N35/00732 , B01L3/5453 , B01L9/06 , B01L2300/021 , G01N35/026 , G01N2035/00752 , G01N2035/0418 , G06K7/10693 , G06K7/10861 , G06K7/1413 , G06K19/06028 , G06K2017/0087
Abstract: Methods and systems are provided that allow scanning of barcode information on sample vessels in situ in a tray. A laboratory instrument includes one or more trays, each having a plurality of recesses, which are configured to hold a plurality of sample vessels, and a plurality of openings between the recesses. The instrument further includes one or more rods that are separate from the trays, each having optical elements configured to read barcode information on the sample vessels. The rods are configured to move through the plurality of openings.
Abstract translation: 提供了允许在托盘中原位扫描样品容器上的条形码信息的方法和系统。 实验室仪器包括一个或多个托盘，每个托盘具有多个凹部，其构造成容纳多个样品容器，以及在凹部之间的多个开口。 仪器还包括与托盘分开的一个或多个杆，每个杆具有被配置为读取样品容器上的条形码信息的光学元件。 杆构造成移动穿过多个开口。
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公开(公告)号：US09407861B2
公开(公告)日：2016-08-02
申请号：US14908189
申请日：2014-07-31
Applicant: Siemens Healthcare Diagnostics Inc.
Inventor： Angela Huenerfauth , Benjamin Pollack , Baris Yagci
CPC classification number: H04N7/14 , G06Q10/20 , G16H40/40 , H04L65/4015 , H04N5/23206
Abstract: Methods and systems facilitate troubleshooting or maintenance of in vitro diagnostic equipment. An operator of the equipment utilizes an app on mobile device to receive status information from the equipment and capture images of the equipment. Tutorials and interactive remote technical support can be provided utilizing this data.
Abstract translation: 方法和系统便于对体外诊断设备进行故障排除或维护。 设备的操作员利用移动设备上的应用程序从设备接收状态信息并捕获设备的图像。 可以使用此数据提供教程和交互式远程技术支持。
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