METHOD AND APPARATUS FOR CORRECTING CROSSTALK AND SPATIAL RESOLUTION FOR MULTICHANNEL IMAGING
    1.
    发明申请
    METHOD AND APPARATUS FOR CORRECTING CROSSTALK AND SPATIAL RESOLUTION FOR MULTICHANNEL IMAGING 审中-公开
    用于校正多通道成像的波形和空间分辨率的方法和装置

    公开(公告)号:WO02086416A3

    公开(公告)日:2003-02-20

    申请号:PCT/US0214979

    申请日:2002-04-24

    Applicant: AMNIS CORP

    Abstract: A multichannel imaging system generates an ensemble of images for each field of view of an object (401). Each image in the ensemble is intended to contain information from only one source among a plurality of sources for the object. However, due to crosstalk, at least a portion of the signal from a first source appears in a channel intended for a second source (404). Because the accuracy of the correction will be degraded if the images in an ensemble are spatially misaligned with respect to one another, the spatial offset between images is determined (408) and a correction is applied to substantially eliminate the offset. Then, a correction to the signals is determined to substantially reduce the contributions to the signal in a channel from the signals in other channels. The signal processing can be employed to process the output signals for each of a plurality of different disclosed imaging systems (409).

    Abstract translation: 多通道成像系统为对象的每个视场生成图像集合(401)。 集合中的每个图像旨在包含来自对象的多个源中的一个源的信息。 然而,由于串扰,来自第一源的信号的至少一部分出现在用于第二源(404)的通道中。 因为如果一个集合中的图像相对于彼此在空间上不对准,校正的精度将被降低,则确定图像之间的空间偏移(408),并应用校正以基本上消除偏移。 然后,确定对信号的校正,以从其它通道中的信号基本上减少对信道中的信号的贡献。 可以采用信号处理来处理多个不同公开的成像系统(409)中的每一个的输出信号。

    COMPUTATIONAL METHODS FOR THE SEGMENTATION OF IMAGES OF OBJECTS FROM BACKGROUND IN A FLOW IMAGING INSTRUMENT
    2.
    发明申请
    COMPUTATIONAL METHODS FOR THE SEGMENTATION OF IMAGES OF OBJECTS FROM BACKGROUND IN A FLOW IMAGING INSTRUMENT 审中-公开
    用于从流动成像仪器背景中分离物体图像的计算方法

    公开(公告)号:WO03009579A2

    公开(公告)日:2003-01-30

    申请号:PCT/US0223203

    申请日:2002-07-17

    Applicant: AMNIS CORP

    Abstract: In automated computation-based interpretation of images, the accuracy and reliability of the detection and delineation of objects, known as "object segmentation," is implemented so as to provide efficient performance. In a multi step process, objects are first detected and captured into regions of interest (ROIs). Sets of pixels belonging to respective objects are then identified. Preferably object detection is achieved using both a two-dimensional (2D) low pass filter and a 2D edge enhancement filter. Two different gradient based edge enhancement filters are disclosed. One embodiment of the invention defines a (ROI) by first determining the center of objects by executing a plurality of decimations on the filtered image data, and then establishing object boundaries. In a second embodiment the ROI is defined by generating an amplitude histogram of the filtered image data, and for histograms exceeding a threshold determining by pixel which rows are to be included in the ROI.

    Abstract translation: 在图像的自动计算解释中,实现了被称为“对象分割”的对象的检测和描绘的准确性和可靠性,以提供有效的性能。 在多步骤过程中,首先检测对象并将其捕获到感兴趣的区域(ROI)中。 然后识别属于各个对象的像素集合。 优选地,使用二维(2D)低通滤波器和2D边缘增强滤波器来实现对象检测。 公开了两种不同的基于梯度的边缘增强滤波器。 本发明的一个实施例通过首先通过对经滤波的图像数据执行多个抽取,然后建立对象边界来首先确定对象的中心来定义(ROI)。 在第二实施例中,通过生成滤波图像数据的幅度直方图,并且对于直方图超过阈值来确定ROI将被包括在ROI中的哪个行来定义ROI。

    METHOD AND APPARATUS FOR CORRECTING CROSSTALK AND SPATIAL RESOLUTION FOR MULTICHANNEL IMAGING

    公开(公告)号:CA2445044C

    公开(公告)日:2011-02-15

    申请号:CA2445044

    申请日:2002-04-24

    Applicant: AMNIS CORP

    Abstract: A multichannel imaging system generates an ensemble of images for each field of view of an object (401). Each image in the ensemble is intended to contain information from only one source among a plurality of sources for the object. However, due to crosstalk, at least a portion of the signal from a first source appears in a channel intended for a second source (404). Because the accuracy of the correction will be degraded if the images in an ensemble are spatially misaligned with respect to one another, the spatial offset between images is determined (408) and a correction is applied to substantially eliminate the offset. Then, a correction to the signals is determined to substantially reduce the contributions to the signal in a channel from the signals in other channels. The signal processing can be employed to process the output signals for each of a plurality of different disclosed imaging systems (409).

    Computational methods for the segmentation of images of objects from background in a flow imaging instrument

    公开(公告)号:AU2002319621A1

    公开(公告)日:2003-03-03

    申请号:AU2002319621

    申请日:2002-07-17

    Applicant: AMNIS CORP

    Abstract: In automated computation-based interpretation of images, the accuracy and reliability of the detection and delineation of objects, known as "object segmentation," is implemented so as to provide efficient performance. In a multi-step process, objects are first detected and captured into regions of interest (ROIs). Sets of pixels belonging to respective objects are then identified. Preferably object detection is achieved using both a two-dimensional (2D) low pass filter and a 2D edge enhancement filter. Two different gradient based edge enhancement filters are disclosed. One embodiment of the invention defines a (ROI) by first determining the center of objects by executing a plurality of decimations on the filtered image data, and then establishing object boundaries. In a second embodiment the ROI is defined by generating an amplitude histogram of the filtered image data, and for histograms exceeding a threshold determining by pixel which rows are to be included in the ROI.

    Method and apparatus for correcting crosstalk and spatial resolution for multichannel imaging

    公开(公告)号:AU2002308693A1

    公开(公告)日:2002-11-05

    申请号:AU2002308693

    申请日:2002-04-24

    Applicant: AMNIS CORP

    Abstract: A multi-channel imaging system generates an ensemble of images for each field of view of an object. Each image in the ensemble is intended to contain information from only one source among a plurality of sources for the object. However, due to crosstalk, at least a portion of the signal from a first source appears in a channel intended for a second source. Because the accuracy of the correction will be degraded if the images in an ensemble are spatially misaligned with respect to one another, the spatial offset between images is determined and a correction is applied to substantially eliminate the offset. Then, a correction to the signals is determined to substantially reduce the contributions to the signal in a channel from the signals in other channels. The signal processing can be employed to process the output signals for each of a plurality of different disclosed imaging systems.

    METHOD AND APPARATUS FOR CORRECTING CROSSTALK AND SPATIAL RESOLUTION FOR MULTICHANNEL IMAGING

    公开(公告)号:CA2445044A1

    公开(公告)日:2002-10-31

    申请号:CA2445044

    申请日:2002-04-24

    Applicant: AMNIS CORP

    Abstract: A multichannel imaging system generates an ensemble of images for each field of view of an object (401). Each image in the ensemble is intended to contai n information from only one source among a plurality of sources for the object . However, due to crosstalk, at least a portion of the signal from a first source appears in a channel intended for a second source (404). Because the accuracy of the correction will be degraded if the images in an ensemble are spatially misaligned with respect to one another, the spatial offset between images is determined (408) and a correction is applied to substantially eliminate the offset. Then, a correction to the signals is determined to substantially reduce the contributions to the signal in a channel from the signals in other channels. The signal processing can be employed to process the output signals for each of a plurality of different disclosed imaging systems (409).

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