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公开(公告)号:US20210011273A1
公开(公告)日:2021-01-14
申请号:US17039221
申请日:2020-09-30
Applicant: Life Technologies Corporation
Inventor: Marc BERRETTA , Jason MECHAM , Frank METTING , Jonathan PAULLIN , Paul BOESCHOTEN , Erik PERSMARK , Eric ALTENDORF
Abstract: Apparatuses, systems and methods for generating color video with a monochrome sensor include the acts of (i) selectively energizing each of a plurality of light sources in a sequence, (ii) capturing a monochrome image of the illuminated sample at a monochrome sensor at each stage of the sequence, and (iii) generating a color video from the monochrome images. The sequence can have a series of stages with each stage of the sequence corresponding to activation of a different wavelength of light from the light sources to illuminate a sample. Generating the monochrome video can include the acts of compiling a plurality of monochrome images captured at the monochrome sensor with a single light source into a series of monochrome video frames comprising the monochrome video.
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公开(公告)号:US20190361216A1
公开(公告)日:2019-11-28
申请号:US16381438
申请日:2019-04-11
Applicant: LIFE TECHNOLOGIES CORPORATION
Inventor: Marc BERRETTA , Jason MECHAM , Frank METTING , Jonathan PAULLIN , Paul BOESCHOTEN , Erik PERSMARK , Eric ALTENDORF
Abstract: Apparatuses, systems and methods for generating color video with a monochrome sensor include the acts of (i) selectively energizing each of a plurality of light sources in a sequence, (ii) capturing a monochrome image of the illuminated sample at a monochrome sensor at each stage of the sequence, and (iii) generating a color video from the monochrome images. The sequence can have a series of stages with each stage of the sequence corresponding to activation of a different wavelength of light from the light sources to illuminate a sample. Generating the monochrome video can include the acts of compiling a plurality of monochrome images captured at the monochrome sensor with a single light source into a series of monochrome video frames comprising the monochrome video.
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公开(公告)号:US20220334372A1
公开(公告)日:2022-10-20
申请号:US17738884
申请日:2022-05-06
Applicant: Life Technologies Corporation
Inventor: Marc BERRETTA , Jason MECHAM , Frank METTING , Jonathan PAULLIN , Paul BOESCHOTEN , Erik PERSMARK , Eric ALTENDORF
Abstract: Apparatuses, systems and methods for generating color video with a monochrome sensor include the acts of (i) selectively energizing each of a plurality of light sources in a sequence, (ii) capturing a monochrome image of the illuminated sample at a monochrome sensor at each stage of the sequence, and (iii) generating a color video from the monochrome images. The sequence can have a series of stages with each stage of the sequence corresponding to activation of a different wavelength of light from the light sources to illuminate a sample. Generating the monochrome video can include the acts of compiling a plurality of monochrome images captured at the monochrome sensor with a single light source into a series of monochrome video frames comprising the monochrome video.
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公开(公告)号:US20220120664A1
公开(公告)日:2022-04-21
申请号:US17501506
申请日:2021-10-14
Applicant: LIFE TECHNOLOGIES CORPORATION , CELLOMICS, INC.
Inventor: Nicolas ROGNIN , Larry RYSTROM , Ognjen GOLUB , Jonathan PAULLIN , Nicholas DILIANI , Kim IPPOLITO
Abstract: Systems and methods for autofocus using artificial intelligence include (i) capturing a plurality of monochrome images over a nominal focus range, (ii) identifying one or more connected components within each monochrome image, (iii) sorting the identified connected components based on a number of pixels associated with each connected component, (iv) generating a focus quality estimate of at least a portion of the sorted connected components using a machine learning module, and (iv) calculating a target focus position based on the focus quality estimate of the evaluated connected components. The calculated target focus position can be used to perform cell counting using artificial intelligence, such as by (i) generating a seed likelihood image and a whole cell likelihood image based on output—a convolutional neural network and (ii) generating a mask indicative quantity and/or pixel locations of objects based on the seed likelihood image.
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