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Related Concept Videos

Complementation Tests00:49

Complementation Tests

A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
Tip-of-the-Tongue Phenomenon01:10

Tip-of-the-Tongue Phenomenon

The tip-of-the-tongue (TOT) phenomenon is a cognitive experience characterized by a temporary inability to retrieve specific information from memory despite having a strong feeling of knowing the information. Although individuals cannot access the target word or detail, they frequently recall related elements, such as its initial letter, syllable count, or context. This partial retrieval often causes frustration, as one might recognize a familiar face or know that a name starts with a specific...
Retrieval01:12

Retrieval

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Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is formed in...
FISH - Fluorescent In-situ Hybridization02:07

FISH - Fluorescent In-situ Hybridization

Fluorescence in situ hybridization, or FISH, was developed in the early 1980s and has quickly become one of the most widely used techniques in cytogenetics. Labeled probes are used to bind complementary DNA or RNA sequences on a chromosome or in a region within a cell. Earlier, the probes could only be obtained by cloning or reverse transcription of a DNA template. Currently, the probe oligonucleotides can be synthesized synthetically. Additionally, with the advancement of optical techniques,...

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Related Experiment Videos

Fast query for exemplar-based image completion.

Tsz-Ho Kwok1, Hoi Sheung, Charlie C L Wang

  • 1Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong. thkwok@mae.cuhk.edu.hk

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|June 10, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a fast image inpainting algorithm using exemplar matching with frequency coefficients and gradient-based methods. This approach efficiently fills unknown image regions, even with varied input dimensions.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Photography

Background:

  • Image inpainting aims to reconstruct missing or corrupted image regions.
  • Traditional exemplar-based methods often rely on exhaustive search, leading to computational inefficiency.
  • Handling varied input dimensions in image processing tasks remains a challenge.

Purpose of the Study:

  • To develop a fast and efficient algorithm for image inpainting.
  • To improve the speed and applicability of exemplar-based image completion.
  • To enable efficient querying of similar image exemplars for varied input dimensions.

Main Methods:

  • Decomposition of image exemplars into significant frequency coefficients.
  • Utilizing a local gradient-based algorithm for filling unknown pixels within query blocks.
  • Implementation of a search-array data structure for efficient exemplar querying, leveraging parallel processing on graphics processing units (GPUs).

Main Results:

  • Achieved a significant speedup compared to traditional exhaustive search exemplar-based methods.
  • Demonstrated efficient handling of varied input dimensions for image inpainting.
  • Validated the algorithm's effectiveness through experimental results on real photographs.

Conclusions:

  • The proposed algorithm offers a computationally efficient solution for image inpainting.
  • The combination of frequency coefficient decomposition and gradient-based filling accelerates the process.
  • The approach is well-suited for parallel implementation on modern graphics hardware, enhancing performance.