Nothing Special   »   [go: up one dir, main page]

Sbalzarini, 2016 - Google Patents

Seeing is believing: quantifying is convincing: computational image analysis in biology

Sbalzarini, 2016

View PDF
Document ID
3895103000337143661
Author
Sbalzarini I
Publication year
Publication venue
Focus on bio-image informatics

External Links

Snippet

Imaging is center stage in biology. Advances in microscopy and labeling techniques have enabled unprecedented observations and continue to inspire new developments. Efficient and accurate quantification and computational analysis of the acquired images, however …
Continue reading at medialibrary.uantwerpen.be (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10056—Microscopic image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G06K9/0014—Pre-processing, e.g. image segmentation ; Feature extraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Electro-optical investigation, e.g. flow cytometers

Similar Documents

Publication Publication Date Title
Sbalzarini Seeing is believing: quantifying is convincing: computational image analysis in biology
US20230127698A1 (en) Automated stereology for determining tissue characteristics
Emami et al. Computerized cell tracking: Current methods, tools and challenges
Stegmaier et al. Real-time three-dimensional cell segmentation in large-scale microscopy data of developing embryos
Chen et al. A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching
Qi et al. Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set
Dima et al. Comparison of segmentation algorithms for fluorescence microscopy images of cells
Rodriguez et al. Automated three-dimensional detection and shape classification of dendritic spines from fluorescence microscopy images
Björkman et al. Detecting, segmenting and tracking unknown objects using multi-label MRF inference
US11080830B2 (en) Systems and methods for segmentation and analysis of 3D images
Li et al. Chapter 17: bioimage informatics for systems pharmacology
Gadermayr et al. CNN cascades for segmenting whole slide images of the kidney
Koyuncu et al. Object‐oriented segmentation of cell nuclei in fluorescence microscopy images
Rohr et al. Tracking and quantitative analysis of dynamic movements of cells and particles
WO2018083142A1 (en) Systems and methods for encoding image features of high-resolution digital images of biological specimens
Kaakinen et al. Automatic detection and analysis of cell motility in phase‐contrast time‐lapse images using a combination of maximally stable extremal regions and Kalman filter approaches
Delpiano et al. Automated detection of fluorescent cells in in‐resin fluorescence sections for integrated light and electron microscopy
Rundo et al. ACDC: Automated cell detection and counting for time-lapse fluorescence microscopy
Chiang et al. Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images
Marzec et al. Efficient automatic 3D segmentation of cell nuclei for high-content screening
Delibaltov et al. CellECT: cell evolution capturing tool
JP2023517703A (en) Scalable and highly accurate context-guided segmentation of histological structures including ducts/glands and lumens, duct/gland clusters, and individual nuclei in whole-slide images of tissue samples from spatial multiparameter cellular and subcellular imaging platforms
Stegmaier et al. Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines
Hodneland et al. Automated detection of tunneling nanotubes in 3D images
Guo et al. An efficient and robust hybrid method for segmentation of zebrafish objects from bright-field microscope images