Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method to perform spatial alignment and spectral compensation for a multi-channel flow imaging system that acquires image data from a single imaging region is disclosed in U.S. Pat. No. 7,079,708. The spatial corrections disclosed therein are static, and do not vary unless the alignment of optical components in the imaging system or the specific detector are modified. However, when image data is acquired from two different imaging regions that are spaced apart along an axis of motion between the object being imaged and the imaging system, dynamic spatial offsets are induced between image data acquired from a first imaging region and image data acquired from a second, spaced apart imaging region. The dynamic spatial offsets are a function of an error in an estimated velocity of the object as it moves between the imaging regions, and may vary from object to object. Techniques for correcting dynamic spatial offsets are disclosed.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.