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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 10. Отображено 10.
01-02-2022 дата публикации

System and method for microscopic image processing and determining microglia activation state using processed images

Номер: US0011238582B2
Автор: Shahar Barbash
Принадлежит: The Joan and Irwin Jacobs Technion-Cornell Institute

A method and system for preprocessing microscopic images. A method includes identifying a plurality of microglial cells shown in microglial cell channel images, wherein identifying the plurality of microglial cells further comprises quantizing the microglial cell channel microscopic images and filtering a plurality of objects in the quantized microglial cell channel microscopic images; identifying a soma and at least one projection for each of the plurality of microglial cells, wherein identifying the soma and the at least one projection for each microglial cell further includes iteratively removing pixels on the microglial cell as shown in one of the microglial cell channel images, wherein each soma and each projection has a respective size; and determining an activation state of each microglial cell based on the size of the soma and a total size of the at least one projection identified for the microglial cell.

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Номер записи: 1
28-11-2023 дата публикации

System and method for region detection in tissue sections using image registration

Номер: US0011830192B2
Автор: Shahar Barbash, Nadav Yayon
Принадлежит: THE JOAN AND IRWIN JACOBS TECHNION-CORNELL INSTITUTE, The Joan and Irwin Jacobs Technion-Cornell Institute

A method and system for image-based region detection. Transformation matrices are computed by performing image registration between a target image and each of one or more reference images. Each transformation matrix is for transforming each of the reference images into a coordinate system of the target image. An optimal reference image is selected from among the reference images based on similarity measures between the target image and each reference image. The transformation matrix of the selected reference image is applied to a reference map associated with the reference image in order to generate a target map for the target image. The target map includes region labels indicating regions shown in the target image.

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Номер записи: 2
31-08-2021 дата публикации

System and method for microscopic image processing and determining myelination status using processed images

Номер: US0011107216B2
Автор: Shahar Barbash, BARBASH SHAHAR, Barbash, Shahar
Принадлежит: The Joan and Irwin Jacobs Technion-Cornell Institute, THE JOAN AND IRWIN JACOBS TECHNION CORNELL INST

A system and method for microscopic image processing. The method includes cleaning leaks shown in images to create cleaned images, each of the images having a neuron signal intensity, wherein the images include at least one neuron channel image and at least one oligodendrocyte channel image, wherein cleaning the images further includes applying a filtering function to each of the images and adjusting the neuron signal intensity of each of the images based on an output of the filtering function; detecting oligodendrocytes in the cleaned images, wherein each detected oligodendrocyte is a region of the images including an object for which the neuron signal intensity is within a range of neuron signal intensities; and identifying high-intensity sub-regions within each detected oligodendrocyte, wherein each high-intensity sub-region includes at least one high-intensity object, wherein each high-intensity object is an object for which the neuron signal intensity is above a threshold.

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Номер записи: 3
03-02-2022 дата публикации

System and method for on-phase microscopy

Номер: US20220036556A1
Автор: Shahar Barbash
Принадлежит: Joan and Irwin Jacobs Technion Cornell Institute

Techniques for processing images to be used for more accurate measurement of biological processes such as cell migration, as well as techniques for measuring cell migration. A method for processing microscopic images includes generating a smoothed image for a raw image by applying a smoothing filter to the raw image, wherein the raw image shows a plurality of cells and a background; generating a high pass filter image by dividing the raw image by the smoothed image; and transforming the high pass filter image into a transformed image by augmenting the spatial frequency of the plurality of cells shown in the high pass filter image with respect to the background.

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Номер записи: 4
04-02-2021 дата публикации

SYSTEM AND METHOD FOR REGION DETECTION IN TISSUE SECTIONS USING IMAGE REGISTRATION

Номер: US20210035297A1
Автор: BARBASH Shahar, YAYON Nadav
Принадлежит: The Joan and Irwin Jacobs Technion-Cornell Institute

A method and system for image-based region detection. Transformation matrices are computed by performing image registration between a target image and each of one or more reference images. Each transformation matrix is for transforming each of the reference images into a coordinate system of the target image. An optimal reference image is selected from among the reference images based on similarity measures between the target image and each reference image. The transformation matrix of the selected reference image is applied to a reference map associated with the reference image in order to generate a target map for the target image. The target map includes region labels indicating regions shown in the target image. 1. A method for image-based region detection , comprising:computing a plurality of transformation matrices by performing image registration between a target image and each of a plurality of reference images, wherein each transformation matrix is a set of values for transforming one of the reference images into a coordinate system of the target image, wherein each reference image corresponds to a respective reference map;selecting an optimal reference image from among the plurality of reference images based on at least one similarity measure between the target image and each of the plurality of reference images; andgenerating a target map for the target image by applying the transformation matrix of the optimal reference image to the corresponding reference map of the optimal reference image.2. The method of claim 1 , further comprising:determining a similarity of each of the plurality of reference images based on the at least one similarity measure between the reference image and the target image, wherein the optimal reference image has the highest determined similarity among the plurality of reference images.3. The method of claim 1 , wherein the target map includes a plurality of region labels claim 1 , each region label indicating a respective tissue ...

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Номер записи: 5
23-07-2020 дата публикации

System and method for microscopic image processing and determining myelination status using processed images

Номер: US20200234438A1
Автор: Shahar Barbash
Принадлежит: Joan and Irwin Jacobs Technion Cornell Institute

A system and method for microscopic image processing. The method includes cleaning leaks shown in images to create cleaned images, each of the images having a neuron signal intensity, wherein the images include at least one neuron channel image and at least one oligodendrocyte channel image, wherein cleaning the images further includes applying a filtering function to each of the images and adjusting the neuron signal intensity of each of the images based on an output of the filtering function; detecting oligodendrocytes in the cleaned images, wherein each detected oligodendrocyte is a region of the images including an object for which the neuron signal intensity is within a range of neuron signal intensities; and identifying high-intensity sub-regions within each detected oligodendrocyte, wherein each high-intensity sub-region includes at least one high-intensity object, wherein each high-intensity object is an object for which the neuron signal intensity is above a threshold.

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Номер записи: 6
08-10-2020 дата публикации

SYSTEM AND METHOD FOR MICROSCOPIC IMAGE PROCESSING AND DETERMINING MICROGLIA ACTIVATION STATE USING PROCESSED IMAGES

Номер: US20200320690A1
Автор: BARBASH Shahar
Принадлежит: The Joan and Irwin Jacobs Technion-Cornell Institute

A method and system for preprocessing microscopic images. A method includes identifying a plurality of microglial cells shown in microglial cell channel images, wherein identifying the plurality of microglial cells further comprises quantizing the microglial cell channel microscopic images and filtering a plurality of objects in the quantized microglial cell channel microscopic images; identifying a soma and at least one projection for each of the plurality of microglial cells, wherein identifying the soma and the at least one projection for each microglial cell further includes iteratively removing pixels on the microglial cell as shown in one of the microglial cell channel images, wherein each soma and each projection has a respective size; and determining an activation state of each microglial cell based on the size of the soma and a total size of the at least one projection identified for the microglial cell. 1. A method for processing microscopic images , comprising:identifying a plurality of microglial cells shown in a plurality of microglial cell channel images, wherein identifying the plurality of microglial cells further comprises quantizing the plurality of microglial cell channel microscopic images and filtering a plurality of objects in the quantized plurality of microglial cell channel microscopic images;identifying a soma and at least one projection for each of the plurality of microglial cells, wherein identifying the soma and the at least one projection for each microglial cell further comprises iteratively removing pixels on the microglial cell as shown in one of the plurality of microglial cell channel images, wherein each soma and each projection has a respective size; anddetermining an activation state of each microglial cell based on the size of the soma and a total size of the at least one projection identified for the microglial cell.2. The method of claim 1 , wherein each soma has an area claim 1 , wherein each projection has a length claim 1 ...

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Номер записи: 7
03-02-2022 дата публикации

System and method for on-phase microscopy

Номер: WO2022023956A1
Автор: Shahar Barbash
Принадлежит: The Joan and Irwin Jacobs Technion-Cornell Institute

Techniques for processing images to be used for more accurate measurement of biological processes such as cell migration, as well as techniques for measuring cell migration. A method for processing microscopic images includes generating a smoothed image for a raw image by applying a smoothing filter to the raw image, wherein the raw image shows a plurality of cells and a background; generating a high pass filter image by dividing the raw image by the smoothed image; and transforming the high pass filter image into a transformed image by augmenting the spatial frequency of the plurality of cells shown in the high pass filter image with respect to the background.

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Номер записи: 8
04-02-2021 дата публикации

System and method for region detection in tissue sections using image registration

Номер: WO2021021430A1
Автор: Nadav YAYON, Shahar Barbash
Принадлежит: The Joan and Irwin Jacobs Technion-Cornell Institute

A method and system for image-based region detection. Transformation matrices are computed by performing image registration between a target image and each of one or more reference images. Each transformation matrix is for transforming each of the reference images into a coordinate system of the target image. An optimal reference image is selected from among the reference images based on similarity measures between the target image and each reference image. The transformation matrix of the selected reference image is applied to a reference map associated with the reference image in order to generate a target map for the target image. The target map includes region labels indicating regions shown in the target image.

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Номер записи: 9
28-05-2024 дата публикации

System and method for on-phase microscopy

Номер: US11995833B2
Автор: Shahar Barbash
Принадлежит: Joan and Irwin Jacobs Technion Cornell Institute

Techniques for processing images to be used for more accurate measurement of biological processes such as cell migration, as well as techniques for measuring cell migration. A method for processing microscopic images includes generating a smoothed image for a raw image by applying a smoothing filter to the raw image, wherein the raw image shows a plurality of cells and a background; generating a high pass filter image by dividing the raw image by the smoothed image; and transforming the high pass filter image into a transformed image by augmenting the spatial frequency of the plurality of cells shown in the high pass filter image with respect to the background.

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Номер записи: 10