Massachusetts Institute of Technology

Tissuevision, Inc.

Other

Timothy M Ragan

Bevin Engelward

Hayden Huang

Peter T C So

Peter So

Karsten Bahlman

Ki-Hean Kim

Ki Hean Kim

Karsten Bahlmann

Lily Hsu Laiho

Chaim Moshe Dimant

Jason D Sutin

Philip Knodle

Lily Hsu-Laiho

Lily Hsu

Sean E Anderson

Elijah Yew

The present invention relates to systems and methods for transport and processing of sectioned biological samples. Preferred embodiments provide for use of a plurality of imaging and processing modalities to characterize sectioned tissue samples. Automated operation of the system provides for multimodal imaging and multistage processing to provide three-dimensional (3D) datasets for each sample.

Automated tissue section capture, indexing and storage system and methods

The present invention relates to systems and methods for sequential operation of staining, imaging and sectioning of tissue samples by a processing system. After each layer of the sample is removed by the sectioning system, the system automatically stains the exposed surface of a sample to a depth to enable imaging of the remaining tissue. The system then repeats the sectioning, staining and imaging steps in sequence to image the sample.

Systems and methods for serial staining and imaging

Devices and methods for sampling an analog signal to perform data analysis are disclosed. The sampling devices and corresponding methods include a detector module that measures a response generated from a sample, an analog to digital converter that samples the analog signal, received from the detector module, and converting it into a digital signal, a sampling rate of the converter being faster than the response of the sample; and a logic circuit coupled to the converter that processes the digital signal in a frequency domain to generate a reduced digital data signal, the logic circuit processing the digital signal acquired from the converter to generate a continuous data transfer to a processing system.

Devices and methods for direct-sampling analog time-resolved detection

In accordance with preferred embodiments of the present invention, a method for imaging tissue, for example, includes the steps of mounting the tissue on a computer controlled stage of a microscope, determining volumetric imaging parameters, directing at least two photons into a region of interest, scanning the region of interest across a portion of the tissue, imaging a plurality of layers of the tissue in a plurality of volumes of the tissue in the region of interest, sectioning the portion of the tissue, capturing the sectioned tissue, and imaging a second plurality of layers of the tissue in a second plurality of volumes of the tissue in the region of interest, and capturing each sectioned tissue, detecting a fluorescence image of the tissue due to said excitation light; and processing three-dimensional data that is collected to create a three-dimensional image of the region of interest. Further, captured tissue sections can be processed, re-imaged, and indexed to their original location in the three dimensional image.

Systems and methods for imaging and processing tissue

In the systems and methods of the present invention a multifocal multiphoton imaging system has a signal to noise ratio (SNR) that is reduced by over an order of magnitude at imaging depth equal to twice the mean free path scattering length of the specimen. An MMM system based on an area detector such as a multianode photomultiplier tube (MAPMT) that is optimized for high-speed tissue imaging. The specimen is raster-scanned with an array of excitation light beams. The emission photons from the array of excitation foci are collected simultaneously by a MAPMT and the signals from each anode are detected using high sensitivity, low noise single photon counting circuits. An image is formed by the temporal encoding of the integrated signal with a raster scanning pattern. A deconvolution procedure taking account of the spatial distribution and the raster temporal encoding of collected photons can be used to improve decay coefficient. We demonstrate MAPMT-based MMM can provide significantly better contrast than CCD-based existing systems.

Multifocal imaging systems and method

In accordance with preferred embodiments of the present invention, a method for imaging tissue, for example, includes the steps of mounting the tissue on a computer controlled stage of a microscope, determining volumetric imaging parameters, directing at least two photons into a region of interest, scanning the region of interest across a portion of the tissue, imaging a plurality of layers of the tissue in a plurality of volumes of the tissue in the region of interest, sectioning the portion of the tissue and imaging a second plurality of layers of the tissue in a second plurality of volumes of the tissue in the region of interest, detecting a fluorescence image of the tissue due to said excitation light; and processing three-dimensional data that is collected to create a three-dimensional image of the region of interest.

Systems and methods for volumetric tissue scanning microscopy

In accordance with preferred embodiments of the present invention, a method for imaging tissue, for example, includes the steps of mounting the tissue on a computer controlled stage of a microscope, determining volumetric imaging parameters, directing at least two photons into a region of interest, scanning the region of interest across a portion of the tissue, imaging layers of the tissue, sectioning a portion of the tissue, capturing the sectioned tissue, and imaging additional layers of the tissue in a second volume of the tissue, and capturing each portion of sectioned tissue, and processing three-dimensional data that is collected to create a three-dimensional image of the region of interest. Further, captured tissue sections can be processed, re-imaged, and indexed to their original location in the three dimensional image.

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Somerville, MA, United States of America

Timothy M Ragan