Component

A Component is an implementation of certain image processing / analysis algorithms.

Each component alone does not solve a Bioimage Analysis problem.

These problems can be addressed by combining such components into workflows.

Description

A resident function in ImageJ, located in the menu as [Process > Binary > Voronoi].

Quote from the ImageJ reference page:

Splits the image by lines of points having equal distance to the borders of the two nearest particles. Thus, the Voronoi cell of each particle includes all points that are nearer to this particle than any other particle. When particles are single points, this process is a Voronoi tessellation (also known as Dirichlet tessellation). The output type (Overwrite, 8-bit, 16-bit or 32-bit) of this command can be set in the [Process > Binary > Options...] dialog box. In the output, the value inside the Voronoi cells is zero; the pixel values of the dividing lines between the cells are equal to the distance between the two nearest particles. This is similar to a medial axis transform of the background, but there are no lines in inner holes of particles.

 

Description

An object detection function in ImageJ. [Analyze > Analyze Particles...]. It could simply be used for counting number of cells, but could also do more complex stuffs. ## Jython Snippet Here is a snippet of how to use Particle Analysis in Jython script.

has topic
need a thumbnail
Description

- 2D Stabilization in each slice of the stacks in time. - 3D Stabilization intravital imaging of all the stacks (including the dimension Z) - create the videos and the stabilized images in a new folder 2701

has function
need a thumbnail
Description

PSF Lab is a software program that calculates the illumination point spread function of a confocal microscope under various imaging conditions. It is available in 32-bit and 64-bit for Windows and in 64-bit for Mac.

has function
Description

WaveTracer is a plugin for Metamorph. It represents a functional method for real-time reconstruction with automatic feedback control, without compromising the localization accuracy. It relies on a wavelet segmentation algorithm, together with a mix of CPU/GPU implementation.

has function
need a thumbnail