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公开(公告)号：US11313869B2
公开(公告)日：2022-04-26
申请号：US16604132
申请日：2017-04-13
申请人： Siemens Healthcare Diagnostics Inc. , Jiang Tian , Stefan Kluckner , Shanhui Sun , Yao-Jen Chang , Terrence Chen , Benjamin S. Pollack
发明人： Jiang Tian , Stefan Kluckner , Shanhui Sun , Yao-Jen Chang , Terrence Chen , Benjamin S. Pollack
摘要： A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for Hemolysis, Icterus, and/or Lipemia, or Normal detection. The method captures one or more images of a labeled specimen container including a serum or plasma portion, processes the one or more images to provide segmentation data and identification of a label-containing region, and classifying the label-containing region with a convolutional neural network (CNN) to provide a pixel-by-pixel (or patch-by-patch) characterization of the label thickness count, which may be used to adjust intensities of regions of a serum or plasma portion having label occlusion. Optionally, the CNN can characterize the label-containing region as one of multiple pre-defined label configurations. Quality check modules and specimen testing apparatus adapted to carry out the method are described, as are other aspects.
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公开(公告)号：US20200158745A1
公开(公告)日：2020-05-21
申请号：US16604132
申请日：2017-04-13
申请人： Jiang TIAN , Stefan KLUCKNER , Shanhui SUN , Yao-Jen CHANG , Terrence CHEN , Benjamin S. POLLACK , Siemens Healthcare Diagnostics Inc.
发明人： Jiang Tian , Stefan Kluckner , Shanhui Sun , Yao-Jen Chang , Terrence Chen , Benjamin S. Pollack
摘要： A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for Hemolysis, Icterus, and/or Lipemia, or Normal detection. The method captures one or more images of a labeled specimen container including a serum or plasma portion, processes the one or more images to provide segmentation data and identification of a label-containing region, and classifying the label-containing region with a convolutional neural network (CNN) to provide a pixel-by-pixel (or patch-by-patch) characterization of the label thickness count, which may be used to adjust intensities of regions of a serum or plasma portion having label occlusion. Optionally, the CNN can characterize the label-containing region as one of multiple pre-defined label configurations. Quality check modules and specimen testing apparatus adapted to carry out the method are described, as are other aspects.
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公开(公告)号：US20240320962A1
公开(公告)日：2024-09-26
申请号：US18576256
申请日：2022-07-06
发明人： Venkatesh NarasimhaMurthy , Vivek Singh , Yao-Jen Chang , Benjamin S. Pollack , Ankur Kapoor , Rayal Raj Prasad Nalam Venkat
IPC分类号： G06V10/776 , G06V10/778 , G06V10/94 , G06V20/69 , G16H50/20
CPC分类号： G06V10/776 , G06V10/778 , G06V10/945 , G06V20/698 , G16H50/20
摘要： Methods of characterizing a sample container or a biological sample in an automated diagnostic analysis system using an artificial intelligence (AI) algorithm include retraining of the AI algorithm in response to characterization confidence levels determined to be unsatisfactory. The AI algorithm is retrained with data (including image data and/or non-image data) having features prevalent at the site where the automated diagnostic analysis system is operated, which were not sufficiently or at all included in training data used to initially train the AI algorithm. Systems for characterizing a sample container or a biological sample using an AI algorithm are also provided, as are other aspects.
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4.发明公开公开(公告)号：US20240133908A1
公开(公告)日：2024-04-25
申请号：US18546160
申请日：2022-02-10
CPC分类号： G01N35/00732 , G01N35/04 , G06T7/0012 , G06T7/60 , G06T7/97 , G01N2035/0406
摘要： A method of determining a 3D center location of a specimen container on a track. The method includes providing a calibration object on the track; providing an initially calibrated image capture device adjacent to the track; moving the calibration object to at least two different longitudinal positions along the track; capturing a first image with the calibration object located at the first longitudinal position; capturing a second image with the calibration object located at the second longitudinal position; and determining a three-dimensional path trajectory of a center location along the track based at least upon the first image and the second image. The method can be used to determine a 3D center location of a specimen container imaged anywhere within a viewing area. Characterization apparatus and specimen testing apparatus adapted to carry out the methods are described, as are other aspects.
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公开(公告)号：US11815446B2
公开(公告)日：2023-11-14
申请号：US16072427
申请日：2017-01-24
CPC分类号： G01N21/13 , G01N15/042 , G01N21/253 , G01N21/255 , G01N21/88 , G01N35/00663 , G01N35/00613 , G01N2015/045 , G01N2021/8845 , G01N2201/0627
摘要： A quality check module for characterizing a specimen and/or a specimen container. The quality check module includes an imaging location within the quality check module configured to receive a specimen container containing a specimen, one or more cameras located at one or more viewpoints adjacent to the imaging location, and one or more spectrally-switchable light source including a light panel assembly located adjacent the imaging location and configured to provide lighting for the one or more cameras, the spectrally-switchable light source configured to be operatively switchable between multiple different spectra. Methods of imaging a specimen and/or specimen container and specimen, and specimen testing apparatus including a quality check module adapted to carry out the method are described herein, as are other aspects.
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公开(公告)号：US11555789B2
公开(公告)日：2023-01-17
申请号：US17278282
申请日：2019-09-19
发明人： Yao-Jen Chang , Benjamin S. Pollack , Rayal Raj Prasad Nalam Venkat , Venkatesh NarasimhaMurthy
IPC分类号： G01N21/88 , G06V10/60 , G06V10/141
摘要： Methods of autonomous diagnostic verification and detection of defects in the optical components of a vision-based inspection system are provided. The method includes illuminating a light panel with a first light intensity pattern, capturing a first image of the first light intensity pattern with a sensor, illuminating the light panel with a second light intensity pattern different than the first light intensity pattern, capturing a second image of the second light intensity pattern with the sensor, comparing the first image and the second image to generate a comparison of images, and identifying defects in the light panel or the sensor based upon the comparison of images. Systems adapted to carry out the methods are provided as are other aspects.
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公开(公告)号：US20220390478A1
公开(公告)日：2022-12-08
申请号：US17755469
申请日：2020-10-22
发明人： Yao-Jen Chang , Patrick Wissmann , Ludwig Listl , Benjamin S. Pollack , Ramkrishna Jangale , Rayal Raj Prasad Nalam Venkat , Venkatesh NarasimhaMurthy , Ankur Kapoor
IPC分类号： G01N35/00
摘要： A method of calibrating an imaging device adapted to characterize a feature of a sample container, such as a cap color or cap type. The method includes providing a calibration tube including an imaging surface at an imaging location of a first imaging apparatus; illuminating the imaging surface with light emitted from multiple front light sources; adjusting a drive current to each of the multiple front light sources to establish a substantially uniform intensity of the imaging surface; recording drive current values for the multiple front light sources; replacing the calibration tube with a calibration tool having a calibration surface of a known reflectance; and measuring target intensity values of the calibration tool at the respective drive current values. Calibration tools, imaging apparatus, quality check modules, and health check methods are provided, as are other aspects.
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公开(公告)号：US11333553B2
公开(公告)日：2022-05-17
申请号：US16632323
申请日：2018-07-16
IPC分类号： G01J3/28 , G01N21/359 , G06T7/00
摘要： An apparatus for characterizing a specimen and/or specimen container. The characterization apparatus includes an imaging location configured to receive a specimen container containing a specimen, a light source configured to provide lighting of the imaging location, and a hyperspectral image capture device. The hyperspectral image capture device is configured to generate and capture a spectrally-resolved image of a small portion of the specimen container and specimen at a spectral image capture device. The spectrally-resolved image data received at the spectral image capture device is processed by a computer to determine at least one of: segmentation of at least one of the specimen and/or specimen container, and determination of a presence or absence of an interferent, such as hemolysis, icterus, or lipemia. Methods of imaging a specimen and/or specimen container, and specimen testing apparatus including a characterization apparatus are described, as are other aspects.
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公开(公告)号：US11238318B2
公开(公告)日：2022-02-01
申请号：US16604125
申请日：2018-04-10
摘要： A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a specimen. The method includes capturing one or more images of a labeled specimen container including a serum or plasma portion, processing the one or more images with a convolutional neural network to provide a determination of Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N). In further embodiments, the convolutional neural network can provide N′-Class segmentation information. Quality check modules and testing apparatus adapted to carry out the method are described, as are other aspects.
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公开(公告)号：US20210341504A1
公开(公告)日：2021-11-04
申请号：US17278283
申请日：2019-09-19
发明人： Rayal Raj Prasad Nalam Venkat , Benjamin S. Pollack , Yao-Jen Chang , Vivek Singh , Venkatesh NarasimhaMurthy
摘要： A method of characterizing a specimen in a specimen container includes capturing one or more images of the specimen container, wherein the one or more images include one or more objects of the specimen container, and wherein the capturing generates pixel data from a plurality of pixels. The method further includes identifying one or more selected objects from the one or more objects, displaying an image of the specimen container, and displaying, on the image of the specimen container, one or more locations of pixels used to identify the one or more selected objects. Other apparatus and methods are disclosed.
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