Image Data Fundamentals
8
Terms
Term Reference
8 terms| Term | Description | |
|---|---|---|
| Beer-Lambert law The exponential relationship between light absorption, path length, and absorber concentration | Transmitted light falls exponentially with stain concentration; converting to optical density makes it linear. | |
| Channel One dimension of a multi-dimensional image | One layer of a multi-channel image: red, green, or blue in RGB, or one fluorophore in a fluorescence image. | |
| Foreground / Background The two regions a mask partitions an image into | The two parts a binary mask divides an image into: what you want to analyze, and everything else. | |
| Grayscale image Single-channel intensity image | One intensity value per pixel and no color: the native form of a fluorescence channel. | |
| Image bit depth 8-bit, 16-bit, 32-bit, and what gets lost between them | Bits stored per pixel: 8-bit holds 256 levels, 16-bit 65,536. It sets how finely intensity is quantified. | |
| Look-Up Table (LUT) | Maps each input intensity to an output value: false-color display, gamma and contrast curves, and more. | |
| Mask Binary mask | A binary image, each pixel on or off, marking the pixels to analyze or the pixels to set aside. | |
| Scaling factor The output multiplier that recurs across arithmetic and filter engines | A multiplier on an engine's output that keeps results inside the output image's bit depth. |