专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20120034623A1 UP-CONCENTRATION OF ORGANIZ MICROOBJECTS FOR MICROSCOPIC IMAGING 有权
标题翻译：用于微观成像的组织微结构的上调
公开(公告)号：US20120034623A1
公开(公告)日：2012-02-09
申请号：US13263997
申请日：2010-04-14
申请人： Bas Hulsken , Stein Kuiper , Sjoerd Stallinga , Bo Joakim Isaksson , Mark W.G. Ponjee , Bart E.G.J. Van Meerbergen , Zeynep S. Unay
发明人： Bas Hulsken , Stein Kuiper , Sjoerd Stallinga , Bo Joakim Isaksson , Mark W.G. Ponjee , Bart E.G.J. Van Meerbergen , Zeynep S. Unay
IPC分类号： G01N33/566 , C12M1/34 , C12Q1/02
CPC分类号： G01N1/4077 , G01N1/4005 , G01N15/0625 , G01N15/0631
摘要： A method of analyzing a sample fluid containing organic microobjects is proposed. The method comprises the steps of: up-concentrating (S1) the microobjects by removing, in a total time T1, a volume V1 of the sample fluid from the upconcentrate sample microobjects; immersing (S2) the microobjects in a transfer fluid, or leaving the microobjects in a remaining portion of the sample fluid, the remaining portion of the sample fluid then providing the transfer fluid; filtering (S3), in a total time T3, a volume V3 of the transfer fluid by a filter, thereby accumulating the microobjects on the filter; and generating (S4) an image of the microobjects accumulated on the filter; wherein the throughput V1/T1 of the step of up-concentrating (S1) is greater than the throughput V1/T1, of the step of filtering (S3). The filter may be a second filter, and the step of up-concentrating (S1) may involve: filtering the sample fluid by a first filter, thereby accumulating the microobjects on the first filter. An apparatus or system for analyzing a sample fluid containing organic microobjects is also disclosed.
摘要翻译：提出了一种分析含有机微物体样品液的方法。该方法包括以下步骤：通过在总时间T1中去除来自上升浓度样品微物体的样品流体的体积V1来上升（S1）微观对象; 将微量物体浸入（S2）到转移流体中，或将微量物体留在样品流体的剩余部分中，然后将样品流体的剩余部分提供转移流体; 在总时间T3中过滤（S3）通过过滤器传送流体的体积V3，从而将微物体累积在过滤器上; 以及生成（S4）累积在所述过滤器上的所述微物体的图像; 其特征在于，上述浓缩步骤（S1）的吞吐量V1 / T1大于滤波步骤的吞吐量V1 / T1（S3）。过滤器可以是第二过滤器，并且上集中（S1）的步骤可以包括：通过第一过滤器过滤样品流体，从而将微物体累积在第一过滤器上。还公开了一种用于分析含有机微物体的样品流体的装置或系统。

IPRDB

热门服务

关于我们

友情链接

联系方式