Tsinghua University

National Applied Research Laboratories

Other

Tunghai University

Ann-Shyn Chiang

Hsiu-Ming Chang

Yung-Chang Chen

Chang-Huain Hsieh

Yen-Yin Lin

Yu-Tai Ching

Kuan-Yu Chen

Yu-Chieh Lin

Dah-Tsyr Chang

Ping-Chang Lee

Chao-Jun Zhuang

Jia-Ling Yang

Chao-Chun Chuang

Chih-Yung Lin

Chien-Chung Fu

Chang-Wei Yeh

Li-An Chu

Ching-Yao Lin

Sheng-Chuan Wang

Chi-Tin Shih

Nan-Yow Chen

Kuen-Long Tsai

Chaung Lin

Guo-Tzau Wang

Chuan Yi Tang

Wei-Kun Chang

I-Ching Wang

Shun-Chi Wu

Provided is a method for preparing a tissue section, including treating a tissue specimen with a clearing agent and at least one labeling agent to obtain a cleared and labeled tissue specimen; generating a three-dimensional (3D) image of the cleared and labeled tissue specimen; performing an image slicing procedure on the 3D image to generate a plurality of two-dimensional (2D) images; identifying a target 2D image among the plurality of 2D images to obtain a distance value of D1, which indicates the distance between the target 2D image and a predetermined surface of the 3D image; preparing a hardened tissue specimen from the cleared and labeled tissue specimen; and cutting the hardened tissue specimen near a predetermined site to obtain a tissue section, wherein the distance between the predetermined site and a surface of the hardened tissue specimen corresponding to the predetermined surface of the 3D image is D1.

Method for preparation of tissue sections

Provided is a method for analyzing a tissue specimen, including treating a tissue specimen with an aqueous clearing agent and with at least two fluorescent probes to obtain a cleared and labeled tissue specimen; imaging the cleared and labeled tissue specimen to generate a three-dimensional (3D) image of the tissue specimen; preparing a stained tissue section from the cleared and labeled tissue specimen; capturing a reference two-dimensional (2D) image of the stained tissue section; matching the reference 2D image with the 3D image to extract from the 3D image a series of 2D image slices including a corresponding 2D image slice that corresponds to the reference 2D image; and determining at least one pathological score for each of the series of 2D image slices and reporting the presence or absence and the extent of the disease based on the pathological scores. The method can improve the accuracy of histopathologic diagnosis.

Method for analyzing tissue specimens

An epi-cone shell light-sheet super-resolution system and an epi-fluorescence microscope are provided. The epi-cone shell light-sheet super-resolution system includes a light-emitting element, a lens set, and an objective lens. After passing through the lens set, the excitation light emitted by the light-emitting element is refracted into ring-shaped light and focused on the objective-lens back-focal plane. The objective lens focuses the ring-shaped light to form a ring-shaped light cone which is then focused on the sample position. The ring-shaped light cone has a fixed thickness. In addition, the same objective lens is used for both excitation and imaging, thus achieving an epi-fluorescence microscope.

Epi-cone shell light-sheet super-resolution system and microscope

The method of segmenting single neuron images with high-dynamic-range thresholds of the present invention includes (a) preparing a biological tissue sample containing neurons and performing imaging to this sample to obtain a three-dimensional raw neuroimage; (b) deleting voxels in the three-dimensional raw neuroimage with signal intensities below a first signal intensity threshold to obtain a first thresholded image; (c) tracing the first thresholded image to obtain a first traced image; (d) calculating a structural importance score of every voxel in the first traced image to obtain a first structural importance score of every voxel; (e) gradually increasing the signal intensity threshold and repeating (b), (c) and (d) n&#x2212;1 times; (f) summing up all the n structural importance scores of every voxel; (g) deleting voxels with summed structural importance score smaller than a pre-determined value from the raw image to obtain the segmented single neuron.

Method of segmenting single neuron images with high-dynamic-range thresholds and computer readable storage medium thereof

The present invention provides a method for providing 3D stereo image. The method comprises: accepting a request submitted from a client system by an intermediate server system; selecting an image server based on the request and responding to the client system from the image server through a processor in the intermediate server system; requesting at least one 3D stereo image by the client system from the image server according to the response; and providing the at least one 3D stereo image to the client system by the image server system. The present invention also provides a system for providing 3D stereo image.

Method and system for providing three dimensional stereo image

A method of enhancing 3D image information density, comprising providing a confocal fluorescent microscope and a rotational stage. 3D image samples at different angles are collected. A deconvolution process of the 3D image samples by a processing unit is performed. A registration process of the deconvoluted 3D image samples by the processing unit is performed. An interpolation process of the registered 3D image samples by the processing unit is performed to output a 3D image in high resolution.

Method of enhancing 3D image information density

The present invention discloses an image processing method for feature retention associated with averaging processes. The image processing method comprises: scaling and aligning a plurality of image data for acquiring feature information; determining a plurality of two-dimensional feature label points according to the feature information for generating at least one Bezier curve; utilizing the at least one Bezier curve to generate at least one Bezier tube and performing Bezier tube fitting for generating result of Bezier tube fitting; deforming the plurality of image data according to the Bezier tube or the result of Bezier tube fitting for generating a plurality of deformed image data; and averaging the plurality of deformed image data for generating feature-preserved average image data. The present invention also provides an image processing system, a computer readable storage medium, and a computer program product, for implementing the image processing method.

Image processing method for feature retention and the system of the same

An apparatus adapted to a microscope includes a body, a revolvable structure, a stage and a driving device. The body has a slot for holding a liquid to form a horizontally level surface of the liquid. The revolvable structure partially accommodated within the slot and pivotally connected to the body is revolvable relative to the body about a horizontal axis and is for supporting a sample, which is immersed in the liquid. The revolvable structure penetrates through the body in a horizontal direction substantially parallel to the horizontal axis and is pivotally engaged to the body through a sealing ring, which makes the liquid be held in the slot and stops the liquid from leaking in the horizontal direction. The stage supports the body. The driving device is disposed on the stage and connected to the revolvable structure to revolve the revolvable structure.

Sample carrying apparatus capable of revolving sample

The present invention relates to the field of data processing, and particularly to a software system and associated method for 3D image processing. The invention is to transform 3D images into space codes, and further align code-associated 3D images with known data within a target database.

Method of three-dimensional image data processing

The present invention relates to methods for searching and constructing a 3D motif image database, wherein said 3D motif image database can be used to understand the connection relationship of a 3D network, e.g. a neural network comprising biological neural networks or artificial neural networks. The searching and constructing methods are applied on the 3D motif image database, a proper computer-aided graphic platform. The database not only facilitates the management of the huge amount of categorized data but also rationally excavates the hidden information cloaked within.

Method for searching and constructing 3D image database

A method of generating standard brain model from a bio-expression system includes performing steps of registration to input standard surface and individual surface into affine registration; recording a transformation parameters from the affine registration; performing steps of inputting a individual neuropil and transform parameters into an affine transformation; applying the data of the affine transformation to transform individual neuropil to achieve transformed individual neuropil; and performing a step of affine registration to register a standard neuropil to the transformed individual neuropil to achieve a resulting transformation, wherein the resulting transformation can be output as a position and orientation of standard neuropil within the standard surface.

[object Object]

The present invention discloses an image preprocessing system, which includes a processing unit; an image preprocessing unit coupled to the processing unit to preprocess image slice data, wherein the image preprocessing unit includes an image fusion module to estimate missing values between different image slice data and an image stitching module to stitch different image slice data into stitched image data; and a database coupled to the processing unit to store the preprocessed image slice data.

Image preprocessing system for 3D image database construction

The bio-expression system comprising: a process system used to process data and a three-dimension image generating module embedded in the computing system, wherein while input of a set of two-dimensional individual model sections is fed into the process system, the three-dimension image generating module is responsive to the input of the two-dimension individual model sections and is capable of processing an individual model construction and model-averaging procedure, thereby generating an average model for each individual dataset. A database includes a bio-expression sub-database, cellular network sub-database and fine structure sub-database, wherein the database is coupled to the process system to store at least the average model. A stereoscopic projecting system is coupled to the process system to display stereoscopic images for active or passive virtual reality applications, thereby presenting the bio-expressions, cellular networks or bio-fine structures under the input instruction of the process system.

Bio-expression system and the method of the same

An aqueous tissue clearing solution for use in making biological tissues transparent is provided. The aqueous tissue clearing solution is selected from the group consisting of dimethyl sulfoxide, diatrizoate acid, ethylenediaminetetraacetic acid, glucamine, &bgr;-nicotinamide adenine dinucleotide phosphate, sodium diatrizoate, and derivatives of polyoxyalkalene. The aqueous tissue clearing solution is used to make tissue transparent for viewing through microscopy.

Growing community of inventors

Hsinchu, Taiwan

Ann-Shyn Chiang