The Charles Stark Draper Laboratory, Inc.

University of Pittsburgh

Tufts University

Joslin Diabetes Center, Inc.

Tha Charles Stark Draper Laboratory, Inc.

Mukund Desai

Rami S Mangoubi

Paul J Sammak

Nathan Lowry

Teresa M Erb

Adel M Malek

Andrew Copeland

Christopher Jeffreys

Joseph J Danko

Lloyd Paul Aiello

Bruce K Walker

Eliezer Gai

Matteo Convertino

Sara Mucko

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.

Detecting species diversity by image texture analysis

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.

Methods of generating trophectoderm and neurectoderm from human embryonic stem cells

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.

Systems and methods for detecting retinal abnormalities

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.

Systems and methods for analyzing image data using adaptive neighborhooding

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.

Systems and methods for spatio-temporal analysis

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.

Mathematical image analysis based cell reprogramming with applications for epigenetic and non-epigenetic base induced pluripotent stem cell derivation

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.

Image-based methods for measuring global nuclear patterns as epigenetic markers of cell differentiation

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.

Methods and systems for imaging cells

Devices and techniques for estimating the concentration of one or more agents in a fluid environment employ a plurality of measurements of a sensor attribute that changes in response to an agent. Measurements taken before the agent/reagent combination reaches a steady-state may be used. The plurality of measurements are processed using a nonlinear, parametric model of the interaction between the sensor and the agent to determine the concentration of the agent. The model takes into account the finite capacity of a sensor reagent. The model characterizes the interaction of individual agent/reagent combinations with a set of parameters. These parameters require minimal testing to calculate. The invention enables the response of a sensor to an agent over the entire range of agent concentration levels to be efficiently and accurately characterized. The invention also enables the prediction of collective responses given parameters characterizing a plurality of agent/reagent combinations.

Method and apparatus for analyzing spatial and temporal processes of interaction

A redundant swashplate control system includes five or more actuators coupled to the swashplate. A feedback network independently controls each actuator to track a commanded position and a reference ram differential pressure that it related to the ram differential pressures sensed from all of the actuators.

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Needham, MA, United States of America

Mukund Desai