会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明授权
    • System and method for automated baseline correction for Raman spectra
    • 用于拉曼光谱自动基线校正的系统和方法
    • US07337066B2
    • 2008-02-26
    • US11635659
    • 2006-12-08
    • Jason H. Neiss
    • Jason H. Neiss
    • G06F19/00
    • G01N21/65
    • A system and method for automated baseline correction for Raman spectra is disclosed which may operate as a piecewise-linear baseline correction function. In an embodiment, a first set of data points from a Raman spectrum are determined to be baseline data points, a second set of data points from the Raman spectrum are determined to be baseline data points where the second set of data points are not contiguous with the first set of data points. The gap between the first and second set of data points is bridged by a straight line thereby forming an estimated baseline. The estimated baseline is smoothed and then subtracted from the Raman spectrum resulting in an adjusted-baseline Raman spectrum.
    • 公开了用于拉曼光谱的自动基线校正的系统和方法,其可以作为分段线性基线校正功能操作。 在一个实施例中,来自拉曼光谱的第一组数据点被确定为基线数据点,来自拉曼光谱的第二组数据点被确定为基准数据点,其中第二组数据点不与 第一组数据点。 第一和第二组数据点之间的间隙由直线桥接,从而形成估计基线。 将估计的基线平滑,然后从拉曼光谱中减去,得到经调整的基线拉曼光谱。
    • 7. 发明申请
    • METHOD AND APPARATUS FOR SUPER MONTAGE LARGE AREA SPECTROSCOPIC IMAGING
    • 超大型区域光谱成像方法与装置
    • US20090021730A1
    • 2009-01-22
    • US12180344
    • 2008-07-25
    • John S. MaierJason H. Neiss
    • John S. MaierJason H. Neiss
    • G01J3/44
    • G06T5/006G01J2003/2826G06T5/50
    • The disclosure relates to Method and Apparatus for Super Montage Large area Spectroscopic Imaging. In one embodiment of the disclosure, a method for producing a spectroscopic image of an object includes the steps of (a) irradiating the object with light to thereby produce from the object scattered and/or emitted (interchangeably “scattered”) light for each of a plurality of wavelengths; (b) producing separately for each of the plurality of wavelengths a plurality of substantially contiguous sub-images of the object; (c) compensating for spatial aberrations in ones of the sub-images for a select one of the plurality of wavelengths; (d) compensating for intensity aberrations between ones of the substantially contiguous sub-images for one of the plurality of wavelengths; and (e) combining the sub-images for the select one wavelength to thereby produce said spectroscopic image of the object.
    • 本公开涉及超级蒙太奇大面积光谱成像方法和装置。 在本公开的一个实施例中,用于产生物体的分光图像的方法包括以下步骤:(a)用光照射物体,从而由物体散射和/或发射(互换地“散射”)的光 多个波长; (b)为所述多个波长中的每一个分别产生所述物体的多个基本相邻的子图像; (c)补偿所述多个波长中的选择一个的子图像中的空间像差; (d)补偿所述多个波长中的一个波长的所述基本连续的子图像中的一个的强度像差; 以及(e)组合所选择的一个波长的子图像,从而产生该对象的所述分光图像。
    • 8. 发明授权
    • Method and apparatus for super montage large area spectroscopic imaging
    • 超级蒙太奇大面积光谱成像方法与装置
    • US07479966B2
    • 2009-01-20
    • US11228382
    • 2005-09-19
    • John S. MaierJason H. Neiss
    • John S. MaierJason H. Neiss
    • G09G5/00G09G5/02G06K9/36G02B5/32G02B27/12G02F1/07G01J3/00G01J3/42G01J3/28G01N21/00G02F1/33G09G5/10
    • G06T5/006G01J2003/2826G06T5/50
    • The disclosure relates to Method and Apparatus for Super Montage Large area Spectroscopic Imaging. In one embodiment of the disclosure, a method for producing a spectroscopic image of an object includes the steps of (a) irradiating the object with light to thereby produce from the object scattered and/or emitted light for each of a plurality of wavelengths; (b) producing separately for each of the plurality of wavelengths a plurality of substantially contiguous sub-images of the object; (c) compensating for spatial aberrations in ones of the sub-images for a select one of the plurality of wavelengths; (d) compensating for intensity aberrations between ones of the substantially contiguous sub-images for one of the plurality of wavelengths; and (e) combining the sub-images for the select one wavelength to thereby produce said spectroscopic image of the object.
    • 本公开涉及超级蒙太奇大面积光谱成像方法和装置。 在本公开的一个实施例中,一种用于产生物体的分光图像的方法包括以下步骤:(a)用光照射物体,从而从多个波长中的每一个的物体散射和/或发射光产生; (b)为所述多个波长中的每一个分别产生所述物体的多个基本相邻的子图像; (c)补偿所述多个波长中的选择一个的子图像中的空间像差; (d)补偿所述多个波长中的一个波长的所述基本连续的子图像中的一个的强度像差; 以及(e)组合所选择的一个波长的子图像,从而产生该对象的所述分光图像。