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    • 1. 发明申请
    • ILLUMINATION SOURCE FOR STAINED BIOLOGICAL SAMPLES
    • 不良生物样品的照射源
    • US20080144169A1
    • 2008-06-19
    • US11611123
    • 2006-12-14
    • Michael ZahniserDavid ZahniserDaniel Parsons
    • Michael ZahniserDavid ZahniserDaniel Parsons
    • G02B21/06
    • G02B21/086
    • A microscope illumination system includes a light source having at least four LED light sources, each LED source emitting light within a different portion of the visible spectrum. Each of the at least four LED light sources may be independently controllable. The resultant light emitted from the at least four LED sources substantially approximates that from an incandescent light source. In one embodiment, the system includes at least one red LED, at least one green LED, at least one blue LED, and at least one yellow LED. Other color combinations are also possible. The illumination may be positioned to place a sample holder such as a slide within the optical path of the light source. The system further includes an optical magnification system for magnifying an image of the biological sample. This may include a camera or traditional magnification optics.
    • 显微镜照明系统包括具有至少四个LED光源的光源,每个LED源发射在可见光谱的不同部分内的光。 所述至少四个LED光源中的每一个可以是独立可控的。 从至少四个LED源发射的合成光基本上接近来自白炽光源的光。 在一个实施例中,该系统包括至少一个红色LED,至少一个绿色LED,至少一个蓝色LED和至少一个黄色LED。 其他颜色组合也是可能的。 照明可以被定位成将诸如幻灯片的样本保持器放置在光源的光路内。 该系统还包括用于放大生物样品的图像的光学放大系统。 这可以包括相机或传统放大光学器件。
    • 2. 发明授权
    • Illumination source for stained biological samples
    • 染色生物样品的照明来源
    • US07561329B2
    • 2009-07-14
    • US11611123
    • 2006-12-14
    • Michael ZahniserDavid ZahniserDaniel Parsons
    • Michael ZahniserDavid ZahniserDaniel Parsons
    • G02B21/06G02B21/00
    • G02B21/086
    • A microscope illumination system includes a light source having at least four LED light sources, each LED source emitting light within a different portion of the visible spectrum. Each of the at least four LED light sources may be independently controllable. The resultant light emitted from the at least four LED sources substantially approximates that from an incandescent light source. In one embodiment, the system includes at least one red LED, at least one green LED, at least one blue LED, and at least one yellow LED. Other color combinations are also possible. The illumination may be positioned to place a sample holder such as a slide within the optical path of the light source. The system further includes an optical magnification system for magnifying an image of the biological sample. This may include a camera or traditional magnification optics.
    • 显微镜照明系统包括具有至少四个LED光源的光源,每个LED源发射在可见光谱的不同部分内的光。 所述至少四个LED光源中的每一个可以是独立可控的。 从至少四个LED源发射的合成光基本上接近来自白炽光源的光。 在一个实施例中,该系统包括至少一个红色LED,至少一个绿色LED,至少一个蓝色LED和至少一个黄色LED。 其他颜色组合也是可能的。 照明可以被定位成将诸如幻灯片的样本保持器放置在光源的光路内。 该系统还包括用于放大生物样品的图像的光学放大系统。 这可以包括相机或传统放大光学器件。
    • 8. 发明授权
    • Fast auto-focus in imaging
    • 快速自动对焦成像
    • US09041791B2
    • 2015-05-26
    • US13019118
    • 2011-02-01
    • Michael Zahniser
    • Michael Zahniser
    • H04N9/47H04N7/18H04N5/232G02B21/24
    • H04N5/23212G02B21/244G06T2207/10148
    • The disclosure relates to methods and systems for automatically focusing multiple images of one or more objects on a substrate. The methods include obtaining, by a processor, a representative focal distance for a first location on the substrate based on a set of focal distances at known locations on the substrate. The methods also include acquiring, by an image acquisition device, a set of at least two images of the first location. The images are each acquired using a different focal distance at an offset from the representative focal distance. The methods further include estimating, by a processor, an ideal focal distance corresponding to the first location based on comparing a quality of focus for each of the images, and storing the estimated ideal focal distance and the first location in the set of focal distances at known locations.
    • 本公开涉及用于将一个或多个物体的多个图像自动聚焦在基底上的方法和系统。 所述方法包括基于在基板上的已知位置处的焦距的集合,由处理器获得基板上的第一位置的代表性焦距。 所述方法还包括通过图像获取装置获取第一位置的至少两个图像的集合。 在与代表性的焦距偏移的情况下,使用不同的焦距来获取图像。 所述方法还包括:通过处理器估计与第一位置对应的理想焦距,基于比较每个图像的焦点质量,以及将估计的理想焦距和第一位置存储在焦距集合中 已知位置。