Amnis Corporation

Neopath, Inc.

Tripath Imaging, Inc.

Luminex Corporation

Novilux, LLC

William E Ortyn

David Abraham Basiji

David Joseph Perry

Brian E Hall

Jon W Hayenga

Louis R Piloco

Thaddeus C George

Philip J Morrissey

Cathleen A Zimmerman

Michael J Seo

Shih-Jong James Lee

Richard A Livingston

Keith Frost

Richard Bauer

James K Riley

Luchuan Liang

Vidya Venkatachalam

N Robert McRuer

Keith L Frost

Rosalynde J Finch

Ralph C Jorgenson

Phillip J Morrissey

Michael E Seo

Michael G Meyer

Chih-Chau L Kuan

Larry A Nelson

Paul S Wilhelm

David Haskett Lynch

Wendy R Bannister

Norio Harui

Tuan H Phan

Richard J Esposito

Michael Crawford

Erich Kyger

Joseph Arnone

Yuhui Cheng

Wayne A Biggs

Tom Montague

Brian W Noland

Jeffrey J Bishop

Danni Wang

Michele Gilbert

Luis H Monsalve

John David Jolly

Robert Onorato

David Perry

Rosalynde Finch

The use of an imaging system, cell compartment markers, and molecular markers in methods for correlating the movement of molecules within a cell to a particular compartment are provided, including measuring and correlating molecule movement in adherent and non-adherent cells.

Image-based quantitation of molecular translocation

Provided are methods for determining and analyzing photometric and morphometric features of small objects, such as cells to, for example, identify different cell states. In particularly, methods are provided for identifying apoptotic cells, and for distinguishing between cells undergoing apoptosis versus necrosis.

Method for imaging and differential analysis of cells

An automated identification of the types of white blood cells in a blood sample facilitates the manual identification of cancerous or other abnormal blood cells in the sample. Classifiers are predetermined for each type of white blood cell and subsequently used to automatically process images of cells in a sample stained with a nuclear dye or stain. The classifiers each comprise a linear weighted combination of morphometric and photometric features previously selected for white blood cells that were identified using monoclonal antibody stains. Red blood cells and excess fluid are removed from a sample being processed upstream of an imaging region of the imaging system. A plurality of different types of images are produced for each cell by the imaging system enabling automated identification of the white blood cells. Images of any cells not thus identified are manually reviewed to detect cancerous or abnormal cells.

Detection of circulating tumor cells using imaging flow cytometry

Multimodal or multispectral images of cells comprising a population of cells are simultaneously collected. Photometric and/or morphometric image features identifiable in the images are used to identify differences between first and second populations of cells. The differences can include changes in a relative percentage of different cell types in each population, or a change in a first type of cell present in the first population of cells and the same type of cell in the second population of cells. The changes may be indicative of a disease state, indicative of a relative effectiveness of a therapy, or indicative of a health of the person from whom the cells populations were obtained.

Blood and cell analysis using an imaging flow cytometer

Photometric and morphometric features derived from multi-mode imagery of cells in flow are used as a cell analyzer to determine if a marker corresponding to a cancer cell or precancerous cell is present in the population of cells imaged. An imaging system simultaneously acquires a plurality of images for each cell passing through the field of view of the imaging system. Acquiring a plurality of different images (i.e., bright field, dark field, and fluorescent images) facilitates the determination of different morphological and morphometric parameters. Simultaneously acquiring the plurality of images enables relatively large populations of cells to be rapidly imaged, so that relatively small numbers of cancer cells in a large population of cells can be detected. Initially, known cancer cells are imaged to enable a marker to be identified. Then, a sample that may include cancer cells is imaged to determine if the marker is present.

A laser beam is periodically deflected before being directed into a sample volume. The beam is deflected at a frequency such that the beam makes one or more passes through the sample volume while data are collected from the sample volume. The amplitude of motion of the beam, the dwell time of the beam at any given point, and the Gaussian intensity profile of the beam cooperate to produce an effective flat topped illumination profile for the light that is incident on specimens in the sample volume. The total photon exposure at any given point in the sample volume is a function of both the beam intensity and the dwell time at that location. Therefore, a longer dwell time and lower intensity at the edge of the profile are in balance with a shorter dwell time and higher intensity at the center of the profile.

Modifying the output of a laser to achieve a flat top in the laser's Gaussian beam intensity profile

A system and method for high numeric aperture imaging systems includes a splitter, a defocusing system, and a combiner. The splitter reflects a portion of collected light and transmits another portion of the collected light. The defocusing system is configured to modify optical power of either the transmitted portion or reflected portion of the collected light. The combiner is oriented with respect to a mechanical angle. The combiner recombines portions of the transmitted portion and the reflected portion such that the transmitted portion and reflected portion are subsequently transmitted being separated by an optical separation angle based upon the mechanical angle of orientation of the combiner. Various other implementations are used to maintain focus with regards to the imaging systems involved.

System and method for high numeric aperture imaging systems

Provided are methods for determining and analyzing photometric and morphogenic features of small objects, such as cells to, for example, identify different cell states. In particularly, methods are provided for identifying apoptotic cells, and for distinguishing between cells undergoing apoptosis versus necrosis.

Image based quantitation of molecular translocation

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Bainbridge Island, WA, United States of America

William E Ortyn