METHODS, KITS, AND COMPOSITIONS FOR STEM CELL SELF-RENEWAL
    32.
    发明申请
    METHODS, KITS, AND COMPOSITIONS FOR STEM CELL SELF-RENEWAL 审中-公开
    用于干细胞自我更新的方法,试剂盒和组合物

    公开(公告)号:US20150344845A1

    公开(公告)日:2015-12-03

    申请号:US14634540

    申请日:2015-02-27

    Abstract: The present invention relates to methods and kits for expanding a stem cell population. More particularly, the invention relates, inter alia, to methods, kits, and compositions for expanding a stem cell population, particularly a hematopoietic stem cell population.

    Abstract translation: 本发明涉及用于扩增干细胞群体的方法和试剂盒。 更具体地,本发明尤其涉及用于扩增干细胞群体,特别是造血干细胞群体的方法,试剂盒和组合物。

    Facial image recognition using pseudo-images

    公开(公告)号:US11769316B2

    公开(公告)日:2023-09-26

    申请号:US17396667

    申请日:2021-08-07

    CPC classification number: G06V10/7715 G06V40/169 G06V40/172

    Abstract: This disclosure relates to the use of “pseudo-images” to perform image recognition, e.g., to perform facial image recognition. In an embodiment, the pseudo-image is obtained by starting with a real world image and, after optional preprocessing, subjecting the image to a non-linear transformation that converts the image into a pseudo-image. While real world objects (or, more generally, real world patterns) may be perceivable in the starting image, they cannot be perceived in the pseudo-image. Image recognition takes place by comparing the pseudo-image with a library of known pseudo-images, i.e., image recognition takes place in pseudo-image space without a return to real world space. In this way, robust image recognition is achieved even for imperfect real world images, such as, real world images that have been degraded by noise, poor illumination, uneven lighting, and/or occlusion, e.g., the presence of glasses, scarves, or the like in the case of facial images.

    FACIAL IMAGE RECOGNITION USING PSEUDO-IMAGES

    公开(公告)号:US20210374388A1

    公开(公告)日:2021-12-02

    申请号:US17396667

    申请日:2021-08-07

    Abstract: This disclosure relates to the use of “pseudo-images” to perform image recognition, e.g., to perform facial image recognition. In an embodiment, the pseudo-image is obtained by starting with a real world image and, after optional preprocessing, subjecting the image to a non-linear transformation that converts the image into a pseudo-image. While real world objects (or, more generally, real world patterns) may be perceivable in the starting image, they cannot be perceived in the pseudo-image. Image recognition takes place by comparing the pseudo-image with a library of known pseudo-images, i.e., image recognition takes place in pseudo-image space without a return to real world space. In this way, robust image recognition is achieved even for imperfect real world images, such as, real world images that have been degraded by noise, poor illumination, uneven lighting, and/or occlusion, e.g., the presence of glasses, scarves, or the like in the case of facial images.

    Facial image recognition using pseudo-images

    公开(公告)号:US11157721B2

    公开(公告)日:2021-10-26

    申请号:US16453545

    申请日:2019-06-26

    Abstract: This disclosure relates to the use of “pseudo-images” to perform image recognition, e.g., to perform facial image recognition. In an embodiment, the pseudo-image is obtained by starting with a real world image and, after optional preprocessing, subjecting the image to a non-linear transformation that converts the image into a pseudo-image. While real world objects (or, more generally, real world patterns) may be perceivable in the starting image, they cannot be perceived in the pseudo-image. Image recognition takes place by comparing the pseudo-image with a library of known pseudo-images, i.e., image recognition takes place in pseudo-image space without a return to real world space. In this way, robust image recognition is achieved even for imperfect real world images, such as, real world images that have been degraded by noise, poor illumination, uneven lighting, and/or occlusion, e.g., the presence of glasses, scarves, or the like in the case of facial images.

    Methods and kits for identifying polypeptide binding sites in a genome

    公开(公告)号:US10287628B2

    公开(公告)日:2019-05-14

    申请号:US15536107

    申请日:2015-12-18

    Abstract: The present invention provides, inter alia, methods and kits for identifying where a polypeptide of interest binds in a genome. The methods include a) carrying out a chromatin immunoprecipitation coupled to exonuclease digestion (ChIP-exo) process with an antibody against the polypeptide of interest; (b) extracting a polynucleotide fragment to which the polypeptide of interest binds; (c) carrying out a library preparation protocol adapted from an individual nucleotide resolution UV cross-linking and immunoprecipitation (iCLIP) process on the ChIP-exo processed polynucleotide fragment; and (d) sequencing the resulting polynucleotides. The kits include: (a) reagents sufficient to carry out ChIP-exo; (b) reagents sufficient to carry out the library preparation protocol adapted from the iCLIP process; and (c) instructions for use.

    NOVEL BRANCHIOSTOMA DERIVED FLUORESCENT PROTEINS
    40.
    发明申请
    NOVEL BRANCHIOSTOMA DERIVED FLUORESCENT PROTEINS 审中-公开
    新型支链淀粉衍生的荧光蛋白

    公开(公告)号:US20140220629A1

    公开(公告)日:2014-08-07

    申请号:US14171932

    申请日:2014-02-04

    CPC classification number: C07K14/43504

    Abstract: The present invention provides compositions, combinations, methods, sequences and kits for use of novel fluorescent proteins derived from the genus Branchiostoma. Specifically, polynucleotide and polypeptide sequences encoding fluorescent proteins isolated from Branchiostoma floridae, including harmonized sequences, which permit enhanced expression of the encoded polypeptides in mammalian cells in vivo are provided.

    Abstract translation: 本发明提供了用于衍生自分枝杆菌属的新型荧光蛋白的组合物,组合,方法,序列和试剂盒。 具体地说,提供了编码从分枝杆菌分离的荧光蛋白的多核苷酸和多肽序列,包括协调序列,其允许体内哺乳动物细胞中编码的多肽的表达增强。

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