Patents
Literature
6 results about "Digital holographic microscopy" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Digital holographic microscopy (DHM) is digital holography applied to microscopy. Digital holographic microscopy distinguishes itself from other microscopy methods by not recording the projected image of the object. Instead, the light wave front information originating from the object is digitally recorded as a hologram, from which a computer calculates the object image by using a numerical reconstruction algorithm. The image forming lens in traditional microscopy is thus replaced by a computer algorithm. Other closely related microscopy methods to digital holographic microscopy are interferometric microscopy, optical coherence tomography and diffraction phase microscopy. Common to all methods is the use of a reference wave front to obtain amplitude (intensity) and phase information. The information is recorded on a digital image sensor or by a photodetector from which an image of the object is created (reconstructed) by a computer. In traditional microscopy, which do not use a reference wave front, only intensity information is recorded and essential information about the object is lost.
Method and system for characterizing microorganisms by digital holographic microscopy
PendingCN122074127AImage analysisMicrobiological testing/measurementMicroorganismDigital holographic microscopy
The present invention relates to a method of characterizing a microorganism, comprising: A. for each wavelength of a predetermined set of wavelengths comprising at least one wavelength, acquiring a holographic digital image, generating a focused image by a computer device, each pixel of the image comprising an amplitude value and a phase value, and segmenting the focused image to extract a portion corresponding to the microorganism, and B. characterizing the microorganism by a computer device according to the aggregated image portion. According to the invention, before characterization or before segmentation or before generation of aggregated images, the method comprises correcting the optical aberration of the acquisition device by means of a computer device, and characterizing the microorganism comprises applying a digital model to these parts, the amplitude value and / or phase value of each wavelength of the predetermined set of wavelengths as a descriptor.
Owner:BIOMERIEUX SA +3
Digital holographic microimaging coherent noise suppression network model and method
PendingCN122090080Aresolve inhibitionSolve the contradiction of image detail preservationCharacter and pattern recognitionBiological modelsMicroscopic imageData set
The invention discloses a digital holographic microscopic imaging coherent noise suppression network model and method based on deep learning. The network model adopts a double-branch encoder-single decoder structure, and a double-branch encoder extracts local details and global noise features of an image in parallel; the innovative double-branch intensive attention fusion module fuses multi-scale features through an adaptive weighting and enhancement mechanism; and the decoder integrates information through jump connection and reconstructs a clear image. The training method generates a high-fidelity data set based on a physical simulation system. According to the method, speckle noise and parasitic fringes can be efficiently suppressed, the phase details of the object are effectively reserved while the peak signal-to-noise ratio and the structural similarity index are remarkably improved, and the method has excellent generalization ability and calculation efficiency and is suitable for real-time high-quality imaging of a digital holographic microscopy system.
Owner:CHINA JILIANG UNIV
A topology-based image reconstruction method and system
The application discloses a kind of based on topological structure's image reconstruction method and system, belong to image reconstruction field.It includes: the establishment digital holographic microscopy model;Three-dimensional space topological data is converted into multi-layer graph structure by adaptive focusing algorithm with different focal length imaging, and hierarchical graph model is formed;According to the topological data of hierarchical graph model, the deflection angle of object is calculated;According to the deflection angle, angle correction is carried out to hierarchical graph model, and the corrected hierarchical graph model is obtained;The best imaging focal point position in the corrected hierarchical graph model of different angles is calculated, and surface topological reconstruction is carried out according to the best imaging focal point position, to obtain the reconstructed image after angle adjustment.In traditional digital holographic microscopy, due to the limitation of light scattering angle, the side edge of object and large-angle inclined part often cannot be recorded completely, resulting in edge distortion or information loss of reconstructed image.The application solves the imaging limitation when processing complex curved surface object.
Owner:HEFEI TUXUN ELECTRONICS TECH
Transflective digital holographic microscope system
A transflective digital holographic microscope system belongs to the technical field of microscopes, includes a reflection-type digital holographic microscope light path and a transmission-type digital holographic microscope light path, wherein the reflection-type digital holographic microscope light path is as follows: a first light beam is changed in polarization direction through a first polarizer, and is divided into two light waves with vertical polarization states; wherein the transmission-type digital holographic microscope light path is as follows: a second light beam is changed in polarization direction through a second polarizer, and is divided into two light waves with vertical polarization states, so that the thickness information and surface contour information of the sample can be tested at the same time.
Owner:SHENZHEN TECH UNIV
A digital holographic phase image stitching method based on deep learning
This invention discloses a deep learning-based digital holographic phase image stitching method. The method includes: acquiring multi-field holographic interferograms, obtaining a single-field phase image through numerical reconstruction, and then linearly mapping it to a grayscale image to create a synthetic dataset; using semi-supervised training of a noise-resistant registration network, calling the obtained registered grayscale image pairs and their binary masks, and then inputting them into a baseline compensation fusion network, using unsupervised training of the fusion model; inputting the registered grayscale image pairs into the trained image stitching model to obtain a stitched grayscale image, which, after grayscale-phase conversion, yields a large field-of-view phase image. This invention uses only a synthetic dataset to train the network, avoiding the difficulty of manually annotating the registration matrix. Through a semi-supervised training strategy and noise-resistant registration network design, it greatly improves registration accuracy, and baseline compensation further optimizes the fusion effect, showing great application potential in digital holographic microscopy quantitative measurement field-of-view stitching.
Owner:ZHEJIANG SCI-TECH UNIV
Dark field digital holographic microscope and associated metrology method
A dark field digital holographic microscope and associated metrology method is disclosed which is configured to determine a characteristic of interest of a structure. The dark field digital holographic microscope includes an illumination branch for providing illumination radiation to illuminate the structure; a detection arrangement for capturing object radiation resulting from diffraction of the illumination radiation by the structure; and a reference branch for providing reference radiation for interfering with the object radiation to obtain an image of an interference pattern formed by the illumination radiation and reference radiation. The reference branch has an optical element operable to vary a characteristic of the reference radiation so as to reduce and / or minimize variation in a contrast metric of the image within a field of view of the dark field digital holographic microscope at a detector plane.
Owner:ASML NETHERLANDS BV