Ikonisys, Inc.

Other

Iknonisys, Inc.

Ikenisys, Inc.

Petros Tsipouras

Triantafyllos P Tafas

Michael Kilpatrick

Youngmin Kim

Xiuzhong Wang

Yash Agarwal

Antti Seppo

Michael Thomas

Andrew Macginitie

Yanning Zhu

Aaron Armstrong

Ilia Ichetovkin

Wei Guo

Richard Eberle

Robert Borgerding

Charles Climer

Triantafyllia Ntouroupi

Changhua Yu

Joseph Turgeon

Triantafillos P Tafas

Young Min Kim

Sir Walter Bodmer

Gary James Sarkis

Tibor Virág

Trianaflyllos Tafas

Automated methods for detecting cancer and related hyperplasias in biological samples.

Automated fluorescence microscopy method for determining efficacy of treatment of cancers and hyperplasias

A method for automated microscopic analysis wherein the test protocol is obtained from interrogatable data affixed to each microscope slide. The method further comprises the algorithms that implement the test protocol.

Methods for detecting fluorescent signals in a biological sample

Method for detecting fluorescent signals in a biological sample

An automated, highly sensitive, specific and potentially quantitative detection method using an automated microscope for identifying and enumerating rare cancer cells in blood and other fluids.

Detection of circulating tumor cells in peripheral blood with an automated scanning fluorescence microscope

A method for providing quantitative information regarding the extent of infection of host cells by an infectious agent. A microscope image of a specimen of a bodily fluid is analyzed using image processing techniques to quantify the percentage of the area of the specimen that is infected.

System for detecting infectious agents using computer-controlled automated image analysis

A method for recognizing an object in an image is disclosed wherein a fractal map of the image is generated by estimating the fractal dimension of each pixel in the image. The fractal map may be segmented by thresholding and locations of candidate objects are determined. The pixel value of the image pixel corresponding to the same location where the candidate object is found in the fractal map may be compared to a threshold value. If the pixel value is greater than the threshold value, the candidate object is recognized as a valid object.

An automated cassette and slide handling system is disclosed which organizes microscope slides in cassettes, automatically and sequentially removes individual slides from their respective cassettes, positioned each slide under the microscope as provided by the protocol, and after examination returns the slide to its proper cassette.

Automated cassette and slide handling system for an automatic microscope

A computer controlled method for detecting and diagnosing a rare cell type in a tissue sample is provided, said method comprising treating the tissue sample such that it generates a first signal indicative of the presence at a location of a rare cell, detecting the first signal, treating the location at which the first signal is detected to generate a second signal indicative of a diagnostically useful cellular characteristic and detecting the second signal. The first signal can be morphological or a color present in a sought cell either before or after staining. The second signal can be generated by in situ PCR or PCR in situ hybridization. In one preferred embodiment, the rare cell type is a fetal cell in a maternal blood tissue sample, said sample consisting of a smear of unenriched maternal blood. In another embodiment, the method is used to diagnose or genotype cancer cells in a blood or tissue biopsy sample.

Method and apparatus for computer controlled rare cell, including fetal cell, based diagnosis

In various embodiments methods for automated screening for gene amplification in biological tissue samples using an automated fluorescence microscope to analyze fluorescence in situ hybridized samples are provided. Various additional embodiments provide methods of high throughput screening for gene amplification.

Automated cancer diagnostic methods using fish

A displaceable light-tight enclosure system housing an automated robotic microscope having electronically controllable components and an image capture device. The enclosure system includes a device(s) for displacement, an externally viewable monitor, and a plurality of electrical power receptacles. The light-tight enclosure system also incorporates an anti-fall support leg that may be extended from the enclosure.

Microscope enclosure system

Growing community of inventors

Madison, CT, United States of America

Petros Tsipouras