搜索结果: 1-15 共查到“生物医学工程 AUTOMATED”相关记录25条 . 查询时间(0.05 秒)
Brown researchers develop new, automated, powerful diagnostic tool for drug detection（图）
药物检测 诊断工具 生物医学 抗抑郁药
2023/6/26
The work by a research team made up largely of Brown graduate and undergraduate students addresses a critical biomedical need and has the potential to be widely adapted by clinicians to monitor antide...
Semi-Automated Method for Multi-Tasking Measurement of Microbial Growth, Capsule, and Biofilm Formation
Biofilm Staphylococcus aureus Escherichia coli Quorum-Signaling Compounds
2013/1/29
The majority of bacterial infections involve the formation of biofilms. Biofilm formation is nutrient and growth dependent. Determination of the effects of nutrients on exopolysaccharide production an...
Combined Hamartoma of the Optic Disc and Retinal Pigment Epithelium—3 Years of the Follow-Up with Semi-Automated Kinetic Perimetry
Hamartoma Perimetry Optic Disc
2013/1/31
Aim: To present a case of hamartoma of the optic disc and Retinal Pigment Epithelium (RPE) and follow up of the visual function over three-years period. Methods: A seventeen-year-old boy has observed ...
Automated Determination of Subcellular Location from Confocal Microscope Images
Automated Determination Confocal Microscope
2009/12/23
Confocal microscopy is frequently used to examine the subcellular distributions of proteins or otherbiological macromolecules, but essentially all interpretation of the patterns in the resulting image...
Automated Interpretation of Subcellular Patterns from Immunofluorescence Microscopy
Fluorescence microscopy Subcellular location features Pattern recognition
2009/12/23
Immunofluorescence microscopy is widely used to analyze the subcellular locations of proteins, but current approaches relyon visual interpretation of the resulting patterns. To facilitate more rapid, ...
Automated Interpretation of Protein Subcellular Location Patterns: Implications for Early Cancer Detection and Assessment
Protein Subcellular Location Patterns Early Cancer Detection
2009/12/23
Automated Interpretation of Protein Subcellular Location Patterns: Implications for Early Cancer Detection and Assessment.
Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
automated classification fluorescence microscope images location proteomics
2009/12/23
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a fullunderstanding of its function. Fluorescence microscopy, in combination with methods for fluore...
AUTOMATED CLASSIFICATION OF SUBCELLULAR PATTERNS IN MULTICELL IMAGES WITHOUT SEGMENTATION INTO SINGLE CELLS
AUTOMATED CLASSIFICATION OF SUBCELLULAR PATTERNS MULTICELL IMAGES
2009/12/23
Fluorescence microscope images capture information from
an entire field of view, which often comprises several cells
scattered on the slide. We have previously trained
classifiers to accurately pre...
Automated Interpretation of Subcellular Location Patterns
Automated Interpretation Subcellular Location Patterns
2009/12/23
Fluorescence microscopy is widely used to analyze the
distribution of proteins within cells. As currently
practiced, the assignment of a protein to a particular
organelle is done by visual inspecti...
AUTOMATED DETERMINATION OF PROTEIN SUBCELLULAR LOCATIONS FROM 3D FLUORESCENCE MICROSCOPE IMAGES
3D FLUORESCENCE MICROSCOPE IMAGES AUTOMATED
2009/12/23
Knowing the subcellular location of a protein is critical to
a full understanding of its function, and automated,
objective methods for assigning locations are needed as
part of the characterizatio...
IMAGE CONTENT-BASED RETRIEVAL AND AUTOMATED INTERPRETATION OF FLUORESCENCE MICROSCOPE IMAGES VIA THE PROTEIN SUBCELLULAR LOCATION IMAGE DATABASE
IMAGE CONTENT-BASED RETRIEVAL AUTOMATED INTERPRETATION
2009/12/23
We describe the Protein Subcellular Location Image
Database (PSLID), which collects and structures 2-D
through 5-D fluorescence microscope images, annotations,
and derived features in a relational ...
Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated Analysis of Fluorescence Microscope Images
Automated Analysis Fluorescence Microscope Images
2009/12/22
Determination of the functions of all expressed proteins
represents one of the major upcoming challenges in
computational molecular biology. Since subcellular
location plays a crucial role in prote...
Automated analysis of patterns in fluorescencemicroscope images
Automated analysis of patterns fluorescencemicroscope images
2009/12/22
The widespread proliferation of
automated fluorescence-microscope
systems has made the acquisition of
digital images commonplace in
cell-biology research. This has created
a need for computer app...
Automated Recognition of Patterns Characteristic of Subcellular Structures in Fluorescence Microscopy Images
Patterns Characteristic Subcellular Structures Fluorescence
2009/12/22
Methods for numerical description and subsequent
classification of cellular protein localization
patterns are described. Images representing the
localization patterns of 4 proteins and DNA were
ob...
A Decision Support Framework for Automated Screening of Diabetic Retinopathy
Automated Screening Diabetic Retinopathy
2009/9/8
The early signs of diabetic retinopathy (DR) are depicted by microaneurysms among other signs. A prompt diagnosis when the disease is at the early stage can help prevent irreversible damages to the di...