BioImaging Flashcards

1
Q

What is Biomedical image analysis?

A

The process of extracting quantitative information and meaningful insights from medical or biological images

Applicable to fluorescence microscopy images for preclinical models, RGB photographs for phenotypic or genetic studies, electron microscopy for structural modeling, deep learning AI, or medical imagine for diagnosis or surgery

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2
Q

Describe Light Sheet Microscopy for bioimaging

A

Uses a thin plane of light to excite the sample and then captures fluorescence emission perpendicular to that. Can collect data over a long period of time, can collect 3D images of live samples.

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3
Q

Describe Confocal Microscopy for bioimaging

A

A focused light on a single spot as small as possible. Pinhole aperture is used to detect small illuminated spot

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4
Q

Describe MRI for bioimaging

A

MRI - used in medical environments to provide high quality pictures of the inside of the body. The technique measures the modification within the characteristics of H nuclei in water and different nuclei with similar chemical shifts across the image slice. The characteristics of H nuclei depend upon their position within the molecule.

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5
Q

What info is needed for image construction?

A
  • Image ratio (1:1, 16:9 etc.)
  • Metadata (experimental conditions e.g. microscope setting, drug treatment used)
  • RBG, CMYK, grayscale
  • Bit (precision of pixel values)
  • Resolution – time and space, sample frequency
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6
Q

What is 3D analysis useful for?

A

Finding the:
- Volume
- Length
- Hidden tumours
- Number of cells

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7
Q

What do you need to know before data processing?

A
  • Experimental conditions
  • Types of organisms e.g. cells, macrophages
  • Other features
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8
Q

What is pre-processing?

A

Preparation of images by noise reduction, contrast enhancement, sharpening, resizing, format conversion etc. to enhance their quality, reduce artifacts, standardize their format, and prepare them for further analysis

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9
Q

What is segmentation?

A

Partitioning an image into segments to simplify analysis by isolating objects or areas of interest. simple segmentation is often thresholding (intensity based)

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10
Q

What is quantification?

A

Extraction of meaningful numeric measurements from images like area, volume, intensity, stats, texture metrics etc.

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