Becton Dickinson and Company Limited

Pierre Bierre

Sreedhar Payavala

Ronald A Mickaels

Robert A Hoffman

Daniel E Thiel

Kenneth Earl Murchison

Dan E Thiel

Andrew D Blidy

Anne Louise Jackson

A system and method for identifying a biological sample associated with a container is disclosed. A universally unique identifier is associated with each container. In one or more embodiments, the identifier comprises one or more markings having a specular reflectance which differs from the specular reflectance of the outer surface of the container adjacent the markings. A detection apparatus detects the differences in specular reflectance light to identify the identifier associated with the container. The identifier is associated with certain information regarding the container and biological sample. From that point forward, any information about the contents of the container may be retrieved by searching on its container ID. Because the container ID is assured by its manufacturer to be universally unique, the container and sample may move from one organization to another under the same identifier, and information about the contents of the container may be shared by querying on its container ID. Practically, the sample ID becomes universal by virtue of presenting a universally-understood search key usable by anyone who needs to process the container. By suitably restricting access to sensitive database fields, patient confidentiality may more easily be assured since the marking on the specimen does not reveal any such information.

System and method for universal identification of biological samples

A system and method for identifying a biological sample associated with a container is disclosed. A universally unique-identifier is associated with each container. In one or more embodiments, the identifier comprises one or more markings having a specular reflectance which differs from the specular reflectance of the outer surface of the container adjacent the markings. A detection apparatus detects the differences in specularly reflected light to identify the identifier associated with the container. The identifier is associated with certain information regarding the container and biological sample. From that point forward, any information about the contents of the container may be retrieved by searching on its container ID. Because the container ID is assured by its manufacturer to be universally-unique, the container and sample may move from one organization to another under the same identifier, and information about the contents of the container may be shared by querying on its container ID. Practically, the sample ID becomes universal by virtue of presenting a universally-understood search key usable by anyone who needs to process the container. By suitably restricting access to sensitive database fields, patient confidentiality may more easily be assured since the marking on the specimen does not reveal any such information.

This invention relates to a method for autoclustering N-dimensional datastreams. The invention has particular utility in analyzing multi-parameter data from a flow cytometer, and more particularly has utility in analyzing data from whole blood cells tagged with fluorescently labelled CD3, CD4 and CD8 monoclonal antibodies to which a known number of fluorescent microbeads has been added.

Gravitational attractor engine for adaptively autoclustering

A method of flow cytometric analysis of leukocyte subpopulations using a fluorescence trigger and gating on light scatter vs. fluorescence. The methods are useful where light scatter parameters are unsatisfactory for identification of leukocyte subpopulations, for example when analyzing lysed blood samples without removal of lysing reagent or unbound label prior to analysis.

Method for preparation and analysis of leukocytes in whole blood

This invention provides a method of multi-parameter data analysis by means of a hierarchical attractor algorithmic engine. The method employs analyzing the data by construction of a population hierarchy, wherein the populations are not mutually exclusive, thereby providing an important analytical tool. The use of the hierarchical attractor algorithmic engine presents the user with far greater flexibility in such analysis, as overlapping populations can be separately examined.

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Redwood City, CA, United States of America

Pierre Bierre