51 results about "Microdissection" patented technology

An apparatus for performing laser cutting and collection of a target micro-region of a tissue section on a blade. The apparatus comprises a carrier stage, a blade, a laser cutting system, a control module and a collector, wherein the laser cutting system comprises a laser device, a beam expander, a galvanometer scanner and an objective lens; and by means of adjusting a scanning angle θ of the galvanometer scanner and combining same with the objective lens, a scanned laser is focused to realize the cutting of a target micro-region on a tissue section and the ejection of the target micro-region. Laser microdissection is combined with mechanical sectioning, and non-contact collection of a specific micro-region of a tissue section placed on an inclined blade is achieved under the action of laser edge ejection combined with a dielectrophoretic force, such that the integrity of the morphology of a sample throughout an acquisition process is ensured, three-dimensional positional information of a target cell or cell population is accurately reserved, the cutting efficiency is improved, and non-contact cutting can also be realized to prevent the sample from being contaminated.

The invention provides a space transcriptome high-throughput sequencing method based on a laser microdissection system and DNA bar code marking and application of the space transcriptome high-throughput sequencing method, and particularly belongs to the technical field of gene sequencing. The high-throughput sequencing method for the space transcriptome comprises the following steps: synthesizing a DNA space bar code by a two-step method; mixing the DNA space bar code and a cell lysis solution with a single cell, and carrying out lysis, mRNA capture, reverse transcription and PCR amplification to obtain cDNA; cDNA library construction and sequencing are carried out, sequencing results are processed, and spatial transcriptome data analysis is carried out. The space transcriptome high-throughput sequencing method disclosed by the invention has relatively high cell throughput and can obtain single cell spatial resolution.

The invention discloses a target micro-area laser cutting and collecting device and method for tissue slices on a blade, the target micro-area laser cutting and collecting device for the tissue slices on the blade comprises a carrier table, the blade, a laser cutting system, a control module and a collector, the laser cutting system comprises a laser, a beam expander, a galvanometer and an objective lens, and the scanning angle theta of the galvanometer is adjusted, and the scanned laser is focused in combination with the objective lens, so that the target micro-area on the tissue slice is cut and bounced up. According to the invention, laser microdissection and mechanical slicing are combined, and non-contact collection of a specific micro-area of a tissue slice placed on an inclined blade is realized under the action of laser edge ejection combined with dielectrophoretic force, so that the integration of the form of a sample in the whole acquisition process is ensured, and three-dimensional position information of a target cell or a cell population is accurately reserved; the cutting efficiency is improved, non-contact cutting can be achieved, and samples are prevented from being polluted.

The invention discloses a genome sequencing sample processing method based on a microdissection technology. The method comprises the following steps: (1) preparing a paraffin section or a frozen section; (2) carrying out HE staining on the section obtained in the step (1); (3) carrying out laser microdissection on nucleic acid; (4) fragmenting the DNA sample, and treating a product obtained in the step (3) by utilizing an ultrasonication method to obtain a DNA fragment; a non-contact ultrasonic crusher is adopted, the power is 80%, ultrasonic treatment is carried out for 10 s, stopping is carried out for 20 s, and 15 cycles are carried out. And (5) carrying out on-machine pretreatment on the genome sequencing sample, wherein the treatment comprises tail end repair and joint connection treatment. According to the method disclosed by the invention, accurate cutting of the sample can be realized, a DNA sample is extracted from a very small amount of cells and a sample for sequencing is constructed, the sample can achieve the same or higher sequencing data quality as that of a traditional method, the usage amount of the cells is greatly reduced, and the repeatability of an experiment is improved.

The invention belongs to the field of laser microdissection, and relates to a laser microdissection system based on coherent Raman imaging and application thereof.The device comprises a femtosecond laser, a beam splitter, a dichroscope and a laser scanning microscope, and a pump light path and a Stokes light path are arranged between the beam splitter and the dichroscope; an optical parametric amplifier and a movable dispersion broadening module are arranged in the pump light path; the Stokes light path is internally provided with a Martin inner z stretcher; a femtosecond laser beam is split through a beam splitter and then enters a pump light path and a Stokes light path, one beam generates wavelength-tunable first pump light through an optical parametric amplifier, and the other beam generates Stokes light through the Stokes light path; the first pump light and the Stokes light are combined in the dichroscope, and the laser scanning microscope is used for carrying out coherent Raman imaging by using the combined light and is also used for carrying out laser microdissection according to a coherent Raman image. According to the invention, the accuracy, selectivity and real-time performance of the laser microdissection process can be obviously improved.

A controller for a laser microdissection system is configured to receive a first image of a sample comprising image tiles stitched together, and a first set of coordinates in a coordinate system of the first image that define a segment to be removed from the sample. A second image of the sample is generated along with a second set of coordinates in a coordinate system of the second image. The laser microdissection system is controlled based on the second set of coordinates to remove the segment. Reference points are determined on the sample visible in the images. Original coordinates are determined corresponding to coordinates of the reference points in the coordinate system of the first image. Target coordinates are determined corresponding to coordinates of the reference points in the coordinate system of the second image. A second set of coordinates are generated based on the original and target coordinates.

The invention relates to the technical field of laser cutting, in particular to a multi-beam collaborative microdissection machining system for two-dimensional materials, which comprises a placement platform, a cutting device, a substrate, a clamp and an adjusting mechanism, the cutting device is mounted above the placement platform, the substrate for placing a workpiece is positioned below the cutting device, and the clamp and the adjusting mechanism are mounted on the placement platform. The clamp is installed above the base plate, the adjusting mechanism is installed at the position of the base plate and the clamp, a negative pressure adsorption channel is synchronously unfolded when a workpiece is positioned through the clamp, then the bottom of the workpiece is cooled and adsorbed through the Bernoulli principle, and therefore the stability of laser cutting is improved while the workpiece is evenly clamped.

The invention relates to the technical field of agricultural detection and plant disease and insect pest recognition, in particular to a rapid identification method for infected sweet potato small weevils, which is technically characterized by comprising the following steps: collecting suspected infected sweet potato samples and hermetically enriching volatile organic gases; acquiring a response signal containing a plurality of gas sensitive elements through electronic nose equipment; performing normalization processing on the original response value, and extracting the maximum response value of each sensor to construct a sample odor feature vector; carrying out dimensionality reduction on the multi-dimensional response data by utilizing principal component analysis to obtain a sample principal component vector; and performing similarity comparison on the main component template and a preset main component template of the ipomoea batatas infection in a database, calculating a similarity index S by adopting cosine similarity, and judging that the infection is positive when S is greater than a set threshold value. The identification process does not need DNA extraction, does not need microdissection, is high in response speed, is suitable for field on-site rapid deployment, and has the advantages of being simple and convenient to operate, sensitive in detection, good in repeatability and the like.

A laser microdissection system (100) comprises a microscope stage (110) configured to receive a sample (102) to be sectioned and a collecting unit (108) comprising at least one collecting vessel (106) arranged beneath the sample (102). The at least one collecting vessel (106) is arranged and configured to collect a dissected specimen (104) cut from the sample (102). The laser microdissection system (100) further comprises an optical detection unit (132) configured to capture a content image of an interior of the at least one collecting vessel (106) and to generate content image data corresponding to the content image, and a control unit (136).The control unit (136) is designed to process the content image data and to determine whether the dissected material (104) is located in the at least one collecting vessel (106) on the basis of the content image data and taking into account before image data corresponding to a before image of the interior of the at least one collecting vessel (106) that was recorded before the dissected material (104) was cut from the sample (102) and / or taking into account reference image data corresponding to a reference image of an interior of a collecting vessel (106) of the same type as the at least one collecting vessel (106).

Methods and systems for analysis and isolation of tissue and cellular material are provided, including to isolate nucleic acid from a sample.

The invention discloses a tumor tissue microdissection method, device and equipment and a storage medium, and the method comprises the steps: firstly obtaining the contact area of a cutting needle, determining the size of a Tiles image block and a Patch unit which are obtained through grid division of a pathological image, and enabling the Patch unit to be matched with a single-time cutting region of the cutting needle; segmenting the pathological image into Tiles to be detected, and preprocessing to remove a background; the method comprises the following steps: screening tumor Tiles through Tiles-level classification, segmenting the tumor Tiles into Patch units, and distinguishing tumor, para-carcinoma and invalid Patches through Patch-level classification; the tumor concentration is calculated, target Tiles conforming to the preset concentration are screened, a cutting path is generated, and equipment cutting is controlled. According to the method, accurate matching of image analysis granularity and cutting hardware precision is realized, tumor concentration can be quantified, para-carcinoma tissues can be accurately removed, and cutting precision, efficiency and automation degree are remarkably improved.

A laser microdissection system (100) comprises a microscope stage (110) configured to receive a sample (102) to be sectioned and a collecting unit (108) comprising at least one collecting vessel (106) arranged beneath the sample (102). The at least one collecting vessel (106) is arranged and configured to collect a dissected specimen (104) cut from the sample (102). The laser microdissection system (100) further comprises an optical detection unit (132) configured to capture a content image of an interior of the at least one collecting vessel (106) and to generate content image data corresponding to the content image, and a control unit (136).The control unit (136) is designed to process the content image data and to determine whether the dissected material (104) is located in the at least one collecting vessel (106) on the basis of the content image data and taking into account before image data corresponding to a before image of the interior of the at least one collecting vessel (106) that was recorded before the dissected material (104) was cut from the sample (102) and / or taking into account reference image data corresponding to a reference image of an interior of a collecting vessel (106) of the same type as the at least one collecting vessel (106).

The invention provides a product related to non-obstructive azoospermia microscopic sperm extraction, application and a method. The invention discloses application of a reagent for detecting clinical information in preparation of a non-obstructive azoospermia microscopic sperm extraction product. The clinical information comprises age, testis size, testosterone, estradiol E2, androgen T, follicle stimulating hormone FSH, statin B and seminal plasma cell-free DNA motif diversity score. The prediction method comprises the following steps: acquiring clinical information of a to-be-tested object; inputting the clinical information into a prediction model based on machine learning to obtain a probability P of successful microscopic sperm extraction; and according to comparison between the probability P and a reference value, diagnosing or predicting whether the to-be-detected object is suitable for microscopic sperm collection. The prediction method provided by the invention can be used for improving the accuracy of predicting the success rate of microscopic sperm extraction of non-obstructive azoospermia, and has a relatively good clinical application value.

A laser microdissection system includes: a microscope having an objective lens aligned with a sample space; and a laser light source configured to generate a steering beam. The laser microdissection system also includes a dissection unit configured to couple the steering beam to the microscope and to separate the segregation from the sample disposed in the sample space by directing the steering beam onto the sample according to profile data relating to a profile on the sample surrounding the segregation. The laser microdissection system further includes a hole location positioning unit configured to move a collection arrangement comprising at least one hole location disposed below the sample relative to an optical axis of the objective lens, where the hole location is configured to capture the educt. The laser microdissection system also includes a controller configured to control the hole location positioning unit to move the collection arrangement based on the profile data such that the center of the opening of the hole location is positioned below the segregation.

The embodiment of the invention provides a sample recovery method for microdissection and a solid transfer body. The sample recovery method for microdissection comprises the following steps that a solid transfer body of a sample is manufactured, and the solid transfer body at least comprises a PDMS solid matrix and a solid transfer film; carrying the sample through the solid transfer film, so that the sample is attached to the solid transfer body; and under the condition that the sample needs to be transferred, the attachment of the sample and the solid transfer body is removed, so that the sample meeting the requirement completely falls off to a target area from the solid transfer body. According to the sample recovery method provided by the technical scheme, the solid transshipment film is additionally arranged on the PDMS solid substrate, and the solid transshipment film carries the sample, so that the adsorption recovery rate of the PDMS solid substrate to the cut sample is remarkably improved, and the problem that the sample is difficult to transfer from the PDMS solid substrate to the collection pipe is solved; the requirements on efficient and accurate sample recovery in the field of biological sample research and analysis are met.

Systems and methods for automated laser microdissection are disclosed including automatic slide detection, position detection of cutting and capture lasers, focus optimization for cutting and capture lasers, energy and duration optimization for cutting and capture lasers, inspection and second phase capture and / or ablation in a quality control station and tracking information for linking substrate carrier or output microdissected regions with input sample or slide.

This application discloses a cutting tool and collection system for laser micro-cutting. The cutting tool includes a sample stage, a tool body, a fan, and a microscope objective. The tool body has an airflow channel that runs through it, with a first air inlet and a first air outlet at each end. The cutting head is located at the first air inlet, and the first air outlet is connected to the fan. Thus, the fan draws in gas and creates a negative pressure area at the cutting head. The sample stage moves the tissue block closer to the cutting head, causing the cutting head to cut the tissue block and form tissue sections. The tissue sections remain connected to the tissue block and are not completely separated from it. Under controllable negative pressure, the tissue sections adhere tightly to the cutting head, thereby significantly reducing tissue section displacement, warping, and detachment caused by cutting vibration, fluid disturbance, or laser scanning. This improves the spatial stability and positioning accuracy of the tissue sections during laser micro-cutting.

An apparatus and method for automated microdissection of tissue from slides to optimize tissue harvest from regions of interest are disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a stained input slide, identify a region of interest on the stained input slide, generate a segmentation map of the region of interest as a function of a segmentation algorithm, register a segmented region of interest, as a function of the segmentation map, onto an unstained slide, wherein registering the segmented region of interest includes determining an orientation of the unstained slide corresponding to the segmented region of interest of the stained input slide, recording the orientation of the unstained slide relative to a reference plane, and registering the segmented region of interest to the unstained slide.

The invention discloses a microdissection multi-slide ROI mapping method and device based on contour registration, and the method comprises the steps: obtaining a standard image and a region-of-interest thermodynamic diagram of a reference slide, and a working image of a target slide, and carrying out the image correction of the working image, respectively extracting a single standard contour of the standard image and one or more working contours of the corrected working image; the physical area is calculated according to the micron number of each pixel, the actual slice fishing number K is determined through the area ratio, and the working contours are clustered into K contour groups; and then carrying out iterative nearest point registration on each group of contours and a standard contour to obtain optimal mapping parameters, transforming the thermodynamic diagrams according to the parameters, and combining the thermodynamic diagrams to generate a complete target area thermodynamic diagram of the working diagram. The method is adaptive to dyeing difference scenes, supports multi-tissue slice fishing, is high in registration precision and full-process automation, provides a precise ROI basis for microdissection, and improves the cutting efficiency and accuracy.

The invention relates to a micro-tissue sample online sampling and pretreatment device which comprises a cutting device, a sample placing device, an eddy current sampling device and an ultrasonic crushing device, the sample placing device is used for placing an original micro-tissue sample, and the cutting device is used for cutting the original micro-tissue sample; the vortex sampling device is used for collecting the cut micro-tissue sample released from the opening of the sample placing device in a vortex sampling manner; the output end of the vortex sampling device is connected into the ultrasonication device, the ultrasonication device is used for providing ultrasonic energy, and after a micro-tissue sample to be crushed advances to the energy focusing position of the ultrasonication device, crushing treatment of the micro-tissue sample is completed. According to the invention, on-line extraction of a sample obtained by laser microdissection is realized, sampling in a flow process is realized through a liquid vortex mode, and ultrasonic focusing is carried out by adopting a focused ultrasonic array working mode, so that crushing treatment of the micro-tissue sample is completed.

The invention discloses a method for detecting a membranous nephropathy target antigen, which comprises the following steps: adding a protein extracting solution into a glomerular tissue to be detected, and incubating; adding a mixed enzyme of a LysC enzyme and a Trypsin enzyme, and incubating; adding a dithiothreitol solution, and incubating; adding an iodo-acetamide solution, and incubating at room temperature in a dark place; adding a precipitating agent, performing ultrasonic treatment and centrifugation, taking supernate, loading the supernate to a C18 small column, eluting the small column, and collecting eluent; freezing the eluent, blow-drying the eluent, and redissolving the eluent with a loading solution to obtain a test solution; and carrying out liquid chromatography-tandem mass spectrometry detection on the test solution. By adopting the detection method disclosed by the invention, the target antigen of membranous nephropathy can be accurately detected when the sampling volume is obviously reduced, so that the sampling difficulty is greatly reduced, and the application of the laser microdissection and liquid chromatography-mass spectrometry combined technology in the detection of the target antigen of membranous nephropathy is greatly promoted. The method is simple in process and short in detection time.

An apparatus and method for automated microdissection of tissue from slides to optimize tissue harvest from regions of interest are disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a stained input slide, identify a region of interest on the stained input slide, generate a segmentation map of the region of interest as a function of a segmentation algorithm, register a segmented region of interest, as a function of the segmentation map, onto an unstained slide, wherein registering the segmented region of interest includes determining an orientation of the unstained slide corresponding to the segmented region of interest of the stained input slide, recording the orientation of the unstained slide relative to a reference plane, and registering the segmented region of interest to the unstained slide.

The disclosure relates to a system comprising a laser, a membrane, one or a plurality of cells positioned on or adherent to the membrane, and one or plurality of enclosure elements positioned around the one or plurality of cells and membrane, the enclosure elements defining a volume between the enclosure element and the membrane. The disclosure also relates to methods of using the system for microdissection of fixed and living cells on a single-cell level.

Device (100) for examining microscope samples (102) comprising a biological object (104) to be examined under the microscope and a sample holder (106) holding the object (104), wherein the device (100) comprises a light microscope (130) for generating at least one digital image (114) of at least one part of the object (104) and wherein the device (100) is designed, to analyze the content of the images using a machine learning model or a machine learning algorithm, to use at least one optical marker (112) as a position reference (108) which is assigned a unique position identifier on the sample carrier, wherein the optical marker is a single cell, a tissue structure or a cell structure, to determine the position of structures of the object relative to at least one optical marker serving as a position reference; wherein the light microscope (130) is designed as a laser microdissection microscope (134).

The application discloses a kind of based on deep learning's pathological image proteomics analysis method and system, it is related to bioinformatics, the method includes: using laser microdissection and mass spectrometry constructs paired image-protein dataset;Adopt pre-training VGG16 convolutional neural network to extract image deep feature, fusion cell morphological feature constructs whole proteome regression mapping model;Through U-Net single cell recognition and iterative deconvolution algorithm output cell level protein expression matrix;Combining mixed semi-supervised learning strategy handles label scarcity problem;Based on protein expression matrix, dimension reduction clustering, spatial heterogeneity quantification (CV+SHI) and visual analysis are carried out.The application realizes the regression mapping of pathological image to whole proteome (>2800) for the first time, breaks through the flux bottleneck of traditional virtual staining, realizes true single cell resolution proteomics, and provides new means for precision medicine.

A laser microdissection system includes a microscope stage configured to receive a sample to be cut and a collecting unit comprising a collecting vessel arranged below the sample, an optical detection unit configured to capture a content image of an interior of the collecting vessel and to generate content image data corresponding to the content image, and a control unit configured to process the content image data and to determine whether a dissectate cut from the sample is located in the collecting vessel based on the content image data and taking into account previous image data corresponding to a previous image of the interior of the collecting vessel that was taken before the dissectate was cut from the sample, and / or taking into account reference image data corresponding to a reference image of an interior of a reference collecting vessel of a same type as the at least one collecting vessel.

The invention relates to the technical field of information, and particularly provides a fish germ cell subcellular structure separation method, which comprises the following steps: obtaining fish gonad tissues in an environment without RNA enzyme pollution, washing with a precooling buffer solution, directly quick-freezing, embedding in an embedding medium, and storing at low temperature; freezing and slicing the quick-frozen and embedded sample to obtain a thin-layer slice, and attaching the thin-layer slice to a membrane subjected to adhesion enhancement treatment and enzyme-free treatment; the attached section is subjected to visual treatment by adopting a specific dyeing combination and then is stored at low temperature; the visualized diaphragm is placed in a humidity-controlled windless enzyme-free environment, and a target membraneless subcellular structure is recognized by combining phase difference or differential interference contrast imaging and three-dimensional stack scanning through a multiple objective lens; the laser microdissection system adopts laser parameters optimized for a small-area target to complete cutting; and adsorbing the cut membraneless subcellular structure into a tube cover of a collecting tube, immediately adding a lysis solution, mixing, and storing at low temperature for nucleic acid extraction.

The utility model relates to the technical field of slide fixing devices, and discloses a slide fixing device for laser microdissection equipment, which comprises a fixing seat, a through hole is arranged in the fixing seat, two limiting grooves which are symmetrically distributed left and right are arranged at the top of the fixing seat, and the through hole is communicated with the through hole. And two first limiting blocks which are symmetrically distributed front and back are arranged on the inner bottom wall of the limiting groove on the right side. According to the slide fixing device for the laser microdissection equipment, by arranging a limiting assembly and a rotating threaded rod, three limiting clamps move forwards, through cooperation of the limiting clamps, a second limiting block and a first limiting block, a slide can be fixed, a worker can conveniently operate even if wearing gloves, and the working efficiency is improved. Meanwhile, the three limiting clamps can move at the same time to fix the slides, workers do not need to push the metal sliding sheets in sequence for fixing, rapid fixing can be achieved, the practicability of the device is improved, and the workers can use the device conveniently.

Embodiments of the disclosure are drawn to apparatuses, systems, and methods for 3D microdissection of samples. A microdissection system includes an imaging system and an extraction system. The imaging system may include a fluorescent microscope, and collects a 3D image of a sample. A region of interest is identified in the sample based on the 3D image. The extraction system extracts the identified region of interest. The imaging, identification, and / or extraction may be manual, automated, or a combination thereof.

Method for verifying a dissection process in a laser microdissection system (100), comprising: Performing a dissection process to cut out (510) a dissection (210, 410) from an object (200, 400) in a first area of ​​the object (200, 400) using a laser beam; Acquisition (310, 520) of first image data of at least the first area after the dissection process with a first focal plane (222) which is parallel offset along the optical axis (240) to the plane (220) of the object (200, 400), acquisition (310, 520) of second image data after the dissection process with a second offset focal plane (224) which is parallel offset along the optical axis (240) and on the opposite side of the object (200, 400) with respect to the first focal plane (222), and Check (320, 530, 540) whether the first image data and / or the second image data show sharp structures within the area to be separated by the dissection process in order to determine whether the dissection process was successful.