Patents by Inventor Benjamin S. POLLACK

Benjamin S. POLLACK has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11555789
    Abstract: 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.
    Type: Grant
    Filed: September 19, 2019
    Date of Patent: January 17, 2023
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Yao-Jen Chang, Benjamin S. Pollack, Rayal Raj Prasad Nalam Venkat, Venkatesh NarasimhaMurthy
  • Patent number: 11538159
    Abstract: A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization method may be used to provide input to an HILN (H, I, and/or L, or N) detection method. The characterization method includes capturing one or more images of a labeled specimen container including a serum or plasma portion from multiple viewpoints, processing the one or more images to provide segmentation data including identification of a label-containing region, determining a closest label match of the label-containing region to a reference label configuration selected from a reference label configuration database, and generating a combined representation based on the segmentation information and the closest label match. Using the combined representation allows for compensation of the light blocking effects of the label-containing region. Quality check modules and testing apparatus and adapted to carry out the method are described, as are other aspects.
    Type: Grant
    Filed: April 10, 2018
    Date of Patent: December 27, 2022
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Stefan Kluckner, Patrick Wissmann, Yao-Jen Chang, Terrence Chen, Benjamin S. Pollack
  • Publication number: 20220398846
    Abstract: A method of identifying a tube type. The method includes capturing one or more pixelated images of a cap affixed to a tube; identifying a color of one or more pixels of the pixilated image of the cap; identifying one or more gradients of a dimension of the cap; and identifying the tube type based at least on: the color of the one or more pixels, and the one or more gradients of a dimension of the cap. Apparatus adapted to carry out the method are disclosed as are other aspects.
    Type: Application
    Filed: October 22, 2020
    Publication date: December 15, 2022
    Applicant: Siemens Healthcare Diagnostics Inc.
    Inventors: Rayal Raj Prasad Nalam Venkat, Benjamin S. Pollack, Yao-Jen Chang, Venkatesh NarasimhaMurthy, Vivek Singh, Ankur Kapoor
  • Publication number: 20220390478
    Abstract: 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.
    Type: Application
    Filed: October 22, 2020
    Publication date: December 8, 2022
    Applicant: Siemens Healthcare Diagnostics Inc.
    Inventors: Yao-Jen Chang, Patrick Wissmann, Ludwig Listl, Benjamin S. Pollack, Ramkrishna Jangale, Rayal Raj Prasad Nalam Venkat, Venkatesh NarasimhaMurthy, Ankur Kapoor
  • Publication number: 20220383618
    Abstract: A method of training a model of a diagnostic apparatus includes providing one or more first tube assemblies of a first type and one or more second tube assemblies of a second type in a diagnostic apparatus; capturing one or more first images of at least a portion of each of the one or more first tube assemblies and the second tube assemblies using the imaging device. Training the model includes identifying tube assemblies of the first type and tube assemblies of the second type based on the one or more first images and the one or more second images. Tubes assemblies of the first type are grouped into a first group and tube assemblies of the second type are grouped into a second group. Other methods and apparatus are disclosed.
    Type: Application
    Filed: October 22, 2020
    Publication date: December 1, 2022
    Applicant: Siemens Healthcare Diagnostics Inc.
    Inventors: Rayal Raj Prasad Nalam Venkat, Benjamin S. Pollack, Yao-Jen Chang, Venkatesh NarasimhaMurthy, Vivek Singh, Ankur Kapoor
  • Patent number: 11498217
    Abstract: Methods of calibrating a position of a component include providing a robot with a gripper and crush and crash sensors, a calibration tool coupled to the gripper, and the component, which has a recess and a crush zone. The methods also include moving the gripper in a first direction to sense contact between the calibration tool and the crush zone, recording the contact position, and moving the gripper to insert the tool into the recess. The gripper is then moved in second directions to sense contact between the tool and the recess and moved in third directions to also sense contact between the tool and the recess. The methods further include recording and processing the contact positions to determine a surface location in the first direction and a physical center of the recess. Robot calibration apparatus for performing the method is also disclosed, as are other aspects.
    Type: Grant
    Filed: June 27, 2017
    Date of Patent: November 15, 2022
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Benjamin S. Pollack, Steven Pollack
  • Publication number: 20220308078
    Abstract: An analyzer system for in vitro diagnostics includes a sample handler module having a robot arm that delivers samples from drawers into carriers on a linear synchronous motor automation track. Samples are delivered via the automation track to individual track sections associated with individual analyzer modules. Analyzer modules aspirate sample portions directly from the sample carriers and perform analysis thereon.
    Type: Application
    Filed: June 15, 2022
    Publication date: September 29, 2022
    Applicant: Siemens Healthcare Diagnostics Inc.
    Inventors: David Stein, Roy Barr, Mark Edwards, Colin Mellars, Thomas J. Bao, Charles V. Cammarata, Benjamin S. Pollack, Baris Yagci, Beri Cohen
  • Patent number: 11386291
    Abstract: A method of training a neural network (Convolutional Neural Network-CNN) including reduced graphical annotation input is provided. The training method can be used to train a Testing CNN that can be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a test specimen. The training method includes capturing training images of multiple specimen containers including training specimens, generating region proposals of the serum or plasma portions of the training specimens; and selecting the best matches for the location, size and shape of the region proposals for the multiple training specimens. The obtained features (network and weights) from the training CNN can be used in a testing CNN. Quality check modules and testing apparatus adapted to carry out the training method, and characterization methods using abounding box regressor are described, as are other aspects.
    Type: Grant
    Filed: January 8, 2019
    Date of Patent: July 12, 2022
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Stefan Kluckner, Yao-Jen Chang, Kai Ma, Vivek Singh, Terrence Chen, Benjamin S. Pollack
  • Patent number: 11378583
    Abstract: An analyzer system for in vitro diagnostics includes a sample handler module having a robot arm that delivers samples from drawers into carriers on a linear synchronous motor automation track. Samples are delivered via the automation track to individual track sections associated with individual analyzer modules. Analyzer modules aspirate sample portions directly from the sample carriers and perform analysis thereon.
    Type: Grant
    Filed: July 19, 2017
    Date of Patent: July 5, 2022
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: David Stein, Roy Barr, Mark Edwards, Colin Mellars, Thomas J. Bao, Charles V. Cammarata, Benjamin S. Pollack, Baris Yagci, Beri Cohen
  • Patent number: 11333553
    Abstract: 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.
    Type: Grant
    Filed: July 16, 2018
    Date of Patent: May 17, 2022
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Patrick Wissmann, Benjamin S. Pollack
  • Patent number: 11313869
    Abstract: 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.
    Type: Grant
    Filed: April 13, 2017
    Date of Patent: April 26, 2022
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Jiang Tian, Stefan Kluckner, Shanhui Sun, Yao-Jen Chang, Terrence Chen, Benjamin S. Pollack
  • Patent number: 11280804
    Abstract: Embodiments are directed to a carrier configured to hold and transport a vessel with a barcode label in an automation system in in vitro diagnostics (IVD) environment, with a plurality of peripheral readers able to read the barcode label. The reading of the barcode label on the vessel loaded into the carrier is achieved without the need to align (either manually or automatically) the barcode to the peripheral readers. A dual spring arrangement provides for consistent vessel capture when loading the vessel into the carrier and for retention in the carrier during transport operations. A centrally-located spring housing provides efficient space utilization. A mirrored dual slot design is provided so that an unobstructed space for each slot is complimentary such that a completely unobstructed view of the vessel is constructed by imaging the same vessel in both slots (one after another) and fusing the resulting data.
    Type: Grant
    Filed: July 19, 2017
    Date of Patent: March 22, 2022
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Ilya Malyarov, Benjamin S. Pollack
  • Patent number: 11241788
    Abstract: Methods of positioning a gripper to pick or place a specimen container from a sample rack. One method includes providing a robot including the gripper, the gripper moveable in a coordinate system by the robot and including gripper fingers, providing a sample rack including receptacles containing specimen containers, providing data, obtained by imaging, regarding the specimen containers in the sample rack, and dynamically orienting the gripper based upon the data. The data may include population and/or configuration data and the dynamic orientation may include gripper finger opening distance, gripper finger rotational position, and/or gripper offset distance. Gripper positioning apparatus for carrying out the method are disclosed, as are other aspects.
    Type: Grant
    Filed: June 27, 2017
    Date of Patent: February 8, 2022
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Benjamin S. Pollack, Steven Pollack
  • Patent number: 11238318
    Abstract: 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.
    Type: Grant
    Filed: April 10, 2018
    Date of Patent: February 1, 2022
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Shanhui Sun, Stefan Kluckner, Yao-Jen Chang, Terrence Chen, Benjamin S. Pollack
  • Patent number: 11209447
    Abstract: Methods of operating a gripper are provided. The methods include providing a robot including the gripper, the gripper moveable by the robot and including gripper fingers, providing a sample rack including receptacles accessible by the gripper, at least some of the receptacles adapted to contain specimen containers, providing data, obtained by imaging, regarding the sample rack and the specimen containers therein, and determining, based on the data, an accessible target receptacle for one of a pick operation or a place operation. Apparatus and systems configured to carry out the methods are provided, as are other aspects.
    Type: Grant
    Filed: June 27, 2017
    Date of Patent: December 28, 2021
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Benjamin S. Pollack, Steven Pollack
  • Publication number: 20210341504
    Abstract: 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.
    Type: Application
    Filed: September 19, 2019
    Publication date: November 4, 2021
    Applicant: Siemens Healthcare Diagnostics Inc.
    Inventors: Rayal Raj Prasad Nalam Venkat, Benjamin S. Pollack, Yao-Jen Chang, Vivek Singh, Venkatesh NarasimhaMurthy
  • Publication number: 20210333298
    Abstract: A method of characterizing a specimen as containing hemolysis, icterus, or lipemia is provided. The method includes capturing one or more images of the specimen, wherein the one or more images include a serum or plasma portion of the specimen. Pixel data is generated by capturing the image. The pixel data of the one or more images of the specimen is processed using a first network executing on a computer to predict a classification of the serum or plasma portion, wherein the classification comprises hemolysis, icterus, and lipemia. The predicted classification is verified using one or more verification networks. Quality check modules and specimen testing apparatus adapted to carry out the method are described, as are other aspects.
    Type: Application
    Filed: September 19, 2019
    Publication date: October 28, 2021
    Applicant: Siemens Healthcare Diagnostics Inc.
    Inventors: Venkatesh NarasimhaMurthy, Vivek Singh, Yao-Jen Chang, Benjamin S. Pollack, Ankur Kapoor
  • Publication number: 20210333217
    Abstract: 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.
    Type: Application
    Filed: September 19, 2019
    Publication date: October 28, 2021
    Applicant: Siemens Healthcare Diagnostics Inc.
    Inventors: Yao-Jen Chang, Benjamin S. Pollack, Rayal Raj Prasad Nalam Venkat, Venkatesh NarasimhaMurthy
  • Publication number: 20210334972
    Abstract: A method of characterizing a serum or plasma portion of a specimen in a specimen container provides an HILN (hemolysis, icterus, lipemia, normal) determination. Pixel data of an input image of the specimen container is processed by a classification network to identify whether the specimen contains plasma or serum. Specimen Pixel data representing a plasma sample are forwarded to a segmentation/classification/regression network trained with plasma samples for HILN determination. Pixel data representing a serum sample are forwarded to a transformation network, wherein the serum sample pixel data is transformed into pixel data that matches pixel data of a corresponding previously-collected plasma sample by changing sample color, contrast, intensity, and/or brightness. The transformed serum sample pixel data are forwarded to the segmentation/classification/regression network for HILN determination.
    Type: Application
    Filed: September 19, 2019
    Publication date: October 28, 2021
    Applicant: Siemens Healthcare Diagnostics Inc.
    Inventors: Venkatesh NarasimhaMurthy, Vivek Singh, Yao-Jen Chang, Benjamin S. Pollack, Ankur Kapoor
  • Patent number: 11145392
    Abstract: Embodiments are directed to a combination of an automation system that continuously tracks the identity and positions of all of its pucks with a single sample identification station and covers/interlocks in order to provide sample chain of custody without the need to re-identify the sample at points of interaction (aspiration, de-capping, etc.). This eliminates the need to have sample identification stations at each interaction point. This reduction of hardware allows the system to be cheaper, smaller, and more reliable. It also allows not only the automation system, but also existing pre-analytical/analytical equipment connected to the automation system, to run more efficiently.
    Type: Grant
    Filed: July 19, 2017
    Date of Patent: October 12, 2021
    Assignee: Siemens Healthcare Diagnostics Inc.
    Inventors: Benjamin S. Pollack, Colin Mellars, Baris Yagci