Amnis Corporation

University of Washington

Biocare Medical, LLC

David Abraham Basiji

William E Ortyn

David Joseph Perry

Brian E Hall

Keith Frost

Thaddeus C George

Philip J Morrissey

Cathleen A Zimmerman

Michael J Seo

Richard Bauer

Luchuan Liang

James K Riley

Vidya Venkatachalam

N Robert McRuer

Gerrit Jan Van Den Engh

Phillip J Morrissey

Rosalynde J Finch

Ralph C Jorgenson

Michael E Seo

David Haskett Lynch

Eric Andrew Warner

Saradha Avantsa

Thomas Marion Maxwell

Richard J Esposito

Ravishankar Melkote

Hoa Thuong Nguyen

Smitha Sreedhar

Deidra Imani Jackson

Zhiweng Chang

Maria Lourdes Teixeira

Ziggy Q Kotchetkov

Kathlyn Leigh Rettig

This disclosure provides a biological sample processing system and methods for processing biological samples. The processing may include one or both of removing wax from wax-embedded biological samples and applying a reagent to biological samples. Aspects of the dewaxing technique and the technique for applying the reagent may be combined to achieve energy efficiencies. Additional efficiency may be achieved by recirculating heated reagent. A hybrid power system may use a source of stored power to supplement external power at times of peak demand. Uniform distribution of liquids across a surface of the biological samples may be achieved by self-leveling using an inclinometer.

Biological sample processing systems and methods

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 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

Growing community of inventors

Seattle, WA, United States of America

David Abraham Basiji