Abstract: A method of measuring species diversity is provided. The method includes receiving a first image of a landscape and receiving a second image of a second landscape. The method also includes representing a portion of the first image as a first region of interest comprising a multiplicity of pixels and representing a portion of the second image as a second region of interest comprising a multiplicity of pixels. The method further includes comparing at least one textural feature of the first region of interest and the second region of interest and calculating the species diversity between the first landscape and the second landscape based on the comparison of the at least one textural features of the regions of interest.

Abstract: Methods for inducing differentiation of stem cells into trophectoderm, neurectoderm, or progeny cells thereof are described, and mathematical and statistical image analysis methods and systems, for example, to identify differentiated cells and screen for agents which modulate differentiation are provided for separate or combined use.

Abstract: A method of measuring species diversity is provided. The method includes receiving a first image of a landscape and receiving a second image of a second landscape. The method also includes representing a portion of the first image as a first region of interest comprising a multiplicity of pixels and representing a portion of the second image as a second region of interest comprising a multiplicity of pixels. The method further includes comparing at least one textural feature of the first region of interest and the second region of interest and calculating the species diversity between the first landscape and the second landscape based on the comparison of the at least one textural features of the regions of interest.

Abstract: The systems and methods described herein relate generally to the detection of retinal abnormalities. More particularly, the systems and methods are used to analyze a fundus or other image of the retina. In some implementations, the image is analyzed by interdependently smoothing and segmenting the image. Using the smoothed and segmented image, retinal features can be identifying in the image. The systems and methods can then analyze the detected retinal features to identify retinal abnormalities.

Abstract: The invention relates to methods and systems for extracting information about a scene from a set of image data by interdependently smoothing the data, segmenting the imaged scene into coherent elements by determining edges, and estimating attributes present within the scene. These methods and systems include attribute estimation, adaptive neighborhood adjustment and preferential use of different images or imaging modalities for information extraction.

Abstract: High resolution time sequences of 3D images that show the dynamics of a time varying changes are provided. The 3D time series of images representing an object that include time varying changes may be produced from lower dimensional image time sequences, such as 2D images. The 2D images may be generated using angiography and may include fluid flow information (e.g., arrival times). The fluid flow information may be provided, for example, by injecting a chemical into the fluid and analyzing its position in the object or body over time. A varying contrast model may be applied to determine the location of the chemical at different points in time which may assist in detecting an ailment.

Abstract: Mathematical and statistical image analysis methods and systems are applied to enhance and refine the process of reprogramming cells, for example, to modify cells from patients into custom-matched stem cells.

Abstract: High resolution time sequences of 3D images that show the dynamics of a time varying changes are provided. The 3D time series of images representing an object that include time varying changes may be produced from lower dimensional image time sequences, such as 2D images. The 2D images may be generated using angiography and may include fluid flow information (e.g., arrival times). The fluid flow information may be provided, for example, by injecting a chemical into the fluid and analyzing its position in the object or body over time. A varying contrast model may be applied to determine the location of the chemical at different points in time which may assist in detecting an ailment.

Abstract: The invention provides methods for determining the differentiation state of cells. The methods include non-invasive, non-perturbing, automatable, and quantitative methods of analysis of cell colonies, individual cells, and/or cellular structures.

Abstract: Systems and methods are provided for imaging an eye and identifying retinal or subretinal features that may be indicative of pathologies such as macular degeneration and traumatic brain injury. An infrared or near-infrared image of an eye is interdependently smoothed and segmented and attributes of the image are determined. The attributes are indicative of retinal or subretinal features.

Abstract: The invention provides methods for determining the differentiation state of cells. The methods include non-invasive, non-perturbing, automatable, and quantitative methods of analysis of cell colonies, individual cells, and/or cellular structures.

Abstract: Methods for inducing differentiation of stem cells into trophectoderm, neurectoderm, or progeny cells thereof are described, and mathematical and statistical image analysis methods and systems, for example, to identify differentiated cells and screen for agents which modulate differentiation are provided for separate or combined use.

Abstract: The invention relates to methods and systems for detecting retinal abnormalities in fundus images by interdependently smoothing and segmenting the image, identifying retinal features in the smoothed and segmented image and analyzing the identified retinal features in the smoothed and segmented image to identify a retinal abnormality.

Abstract: Mathematical and statistical image analysis methods and systems are applied to enhance and refine the process of reprogramming cells, for example, to modify cells from patients into custom-matched stem cells.

Abstract: The invention generally provides methods and systems for determining characteristics of cellular structures. The methods include non-invasive, non-perturbing, automatable, and quantitative methods and may be applied to the examination of cells such as stem cells, embryos, and egg cells.

Abstract: The invention provides methods for determining the differentiation state of cells. The methods include non-invasive, non-perturbing, automatable, and quantitative methods of analysis of cell colonies, individual cells, and/or cellular structures.

Abstract: The invention generally provides methods and systems for determining characteristics of cellular structures. The methods include non-invasive, non-perturbing, automatable, and quantitative methods and may be applied to the examination of cells such as stem cells, embryos, and egg cells.

Abstract: The invention generally provides methods and systems for determining characteristics of cellular structures. The methods include non-invasive, non-perturbing, automatable, and quantitative methods and may be applied to the examination of cells such as stem cells, embryos, and egg cells.

Abstract: The invention provides methods for determining the differentiation state of cells. The methods include non-invasive, non-perturbing, automatable, and quantitative methods of analysis of cell colonies, individual cells, and/or cellular structures.

Abstract: The invention relates to methods and systems for extracting information about a scene from a set of image data by interdependently smoothing the data, segmenting the imaged scene into coherent elements by determining edges, and estimating attributes present within the scene. These methods and systems include attribute estimation, adaptive neighborhood adjustment and preferential use of different images or imaging modalities for information extraction.