scholarly journals Analysis of Fast Dynamic Processes in Living Cells: High-Resolution and High-Speed Dual-Color Imaging Combined with Automated Image Analysis

BioTechniques ◽  
2000 ◽  
Vol 28 (4) ◽  
pp. 722-730 ◽  
Author(s):  
A. Rustom ◽  
D. Gerlich ◽  
R. Rudolf ◽  
C. Heinemann ◽  
R. Eils ◽  
...  
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
High Speed ◽  
Living Cells ◽  
Automated Image Analysis ◽  
Dynamic Processes ◽  
Color Imaging ◽  
Dual Color ◽  
Fast Dynamic

Electron Image Analysis

1971 ◽  
Vol 29 ◽  
pp. 80-81
Author(s):  
D. W. Gibbard ◽  
J. A. Crawley ◽  
M. J. Cowham
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
High Speed ◽  
Signal To Noise Ratio ◽  
High Signal ◽  
Modular Construction ◽  
Wide Range ◽  
Electron Microscopes ◽  
Digital Circuitry ◽  
Accuracy And Repeatability

The history of automatic image analysis is a short one, the techniques being limited until recent years due to the “state of the art” of technology in electronics. A new third generation image analysis machine, the Quantimet 720 was introduced in 1969 designed with a modular construction for application to many fields of interest. It was the first equipment of its type to depart from T.V. standards to scan standards required for optimising the conflicting requirements of high resolution, high speed and high signal to noise ratio. It features high resolution and digital circuitry for accuracy and repeatability and a large and growing range of modules for high computing power. It has also been applied to a wide range of image producing devices including light microscopes, epidiascope (for analysis of photo-micrographs), transmission and scanning electron microscopes.

scholarly journals Development of urban area geospatial information products from high resolution satellite imagery using advanced image analysis techniques

2004 ◽  
Author(s):  
◽  
Aaron K. Shackelford
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
Urban Area ◽  
Satellite Imagery ◽  
Training Data ◽  
Automated Image Analysis ◽  
Data Generation ◽  
Geospatial Information ◽  
Information Products ◽  
High Resolution Satellite Imagery

The latest generation of commercial satellite imaging sensors have a number of characteristics (e.g. high spatial resolution, multispectral bands, and quick revisit time), that make them ideal data sources for a variety of urban area applications. The goal of this doctoral research was to develop advanced automated and semi-automated image analysis and classification techniques for the extraction of urban area geospatial information products from commercial high-resolution satellite imagery. We developed two semi-automated urban land cover classification approaches, as well as fully automated techniques for road network and 2-D building footprint extraction. By utilizing fully automated feature extraction techniques for training data generation, a self-supervised classification approach was also developed. The self-supervised classifier is significantly more accurate than traditional classification approaches, and unlike traditional approaches it is fully automated. The development of automated and semi-automated techniques for generation of urban geospatial information products is of high importance not only for the many applications where they can be used but also because the large volume of data collected by these sensors exceeds the human capacity of trained image specialists to analyze. In addition, many applications, especially those for the military and intelligence communities, require near real time exploitation of the image data.

scholarly journals Specific protein labeling with caged fluorophores for dual-color imaging and super-resolution microscopy in living cells

2017 ◽  
Vol 8 (1) ◽  
pp. 559-566 ◽  
Author(s):  
Sebastian Hauke ◽  
Alexander von Appen ◽  
Tooba Quidwai ◽  
Jonas Ries ◽  
Richard Wombacher
Keyword(s):  
Mammalian Cells ◽  
Super Resolution ◽  
Specific Protein ◽  
Living Cells ◽  
Protein Labeling ◽  
Color Imaging ◽  
Dual Color ◽  
Resolution Imaging ◽  
Super Resolution Microscopy

We present new fluorophore-conjugates for dual-color photoactivation and super-resolution imaging inside live mammalian cells.

Automated Image Analysis Of Nuclear And Cytoplasmic Changes In Exfoliated Cells From Tracheas Treated With Carcinogen

1977 ◽  
Vol 35 ◽  
pp. 220-221
Author(s):  
S.F. Stinson ◽  
J.C. Lilga ◽  
M.B. Sporn
Keyword(s):  
Image Analysis ◽  
Pattern Analysis ◽  
Relative Proportion ◽  
Automated Image Analysis ◽  
Image Analyzer ◽  
Cross Sectional ◽  
Exfoliated Cells ◽  
Neoplastic Lesions ◽  
Analysis System ◽  
Morphologic Criterion

Increased nuclear size, resulting in an increase in the relative proportion of nuclear to cytoplasmic sizes, is an important morphologic criterion for the evaluation of neoplastic and pre-neoplastic cells. This paper describes investigations into the suitability of automated image analysis for quantitating changes in nuclear and cytoplasmic cross-sectional areas in exfoliated cells from tracheas treated with carcinogen.Neoplastic and pre-neoplastic lesions were induced in the tracheas of Syrian hamsters with the carcinogen N-methyl-N-nitrosourea. Cytology samples were collected intra-tracheally with a specially designed catheter (1) and stained by a modified Papanicolaou technique. Three cytology specimens were selected from animals with normal tracheas, 3 from animals with dysplastic changes, and 3 from animals with epidermoid carcinoma. One hundred randomly selected cells on each slide were analyzed with a Bausch and Lomb Pattern Analysis System automated image analyzer.

Progress In The Practical Application Of Automated Image Analysis To Tem Negatives

1977 ◽  
Vol 35 ◽  
pp. 214-217
Author(s):  
F. A. Heckman ◽  
E. Redman ◽  
J.E. Connolly
Keyword(s):  
Image Analysis ◽  
Image Quality ◽  
Exposure Time ◽  
Image Contrast ◽  
Automated Image Analysis ◽  
Practical Application ◽  
Factors Affecting ◽  
High Image Quality ◽  
Qualitative Evidence ◽  
Comprehensive Study

In our initial publication on this subject1) we reported results demonstrating that contrast is the most important factor in producing the high image quality required for reliable image analysis. We also listed the factors which enhance contrast in order of the experimentally determined magnitude of their effect. The two most powerful factors affecting image contrast attainable with sheet film are beam intensity and KV. At that time we had only qualitative evidence for the ranking of enhancing factors. Later we carried out the densitometric measurements which led to the results outlined below.Meaningful evaluations of the cause-effect relationships among the considerable number of variables in preparing EM negatives depend on doing things in a systematic way, varying only one parameter at a time. Unless otherwise noted, we adhered to the following procedure evolved during our comprehensive study:Philips EM-300; 30μ objective aperature; magnification 7000- 12000X, exposure time 1 second, anti-contamination device operating.

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