In modern biological microscopy, fluorescence imaging is used to record and quantify location, functional status, and abundance of a tagged target molecule. This requires the application of image correction techniques and calibration methods for both image visualization and quantitative analysis. Digital image processing algorithms and softwares for correction and calibration strategies are discussed in the following sections.
It is the ideal "glue" for easily integrating dissimilar fluorescent microscope hardware and peripherals into a single custom workstation, while providing all the tools needed to perform meaningful analysis of acquired images. The software offers many user-friendly application modules for biology-specific analysis such as cell signaling, cell counting, and protein expression.
Restores images from microscopic data. Huygens is based on the deconvolution approach that reassigns out-of-focus light to its origin, thus improves signal-to-noise in images. It can use physically-acquired or simulated point-spread functions (PSFs) for characterization of optical system being deconvolved. The tool shows high-performance in in-house tests on deconvolution compared to other software packages. It provides intuitive wizards for parameter selection and processing.
A user-friendly opensource software tool for tracking cells imaged with various imaging modalities, including fluorescent, phase contrast, and differential interference contrast (DIC) techniques. The main goals of the software tool are: (i) automated image quality enhancement using vignetting and alignment correction, (ii) detection and tracking of cells, (iii) editing cell paths and statistical analysis of the cell motion.
Increases the local contrast of an image. CLAHE uses the contrast limited adaptive histogram equalization to process. The contrast amplification in the vicinity of a given pixel value is delivered by the slope of the transformation function. This ImageJ plugin has three main parameters: block size, histogram and max slope.
Allows users to detect and count fluorescent signals in microscopy images of cells. Blob Finder is a free software that performs two types of analysis: (i) an average count, for quantifying the number of nuclei and signals in an image; (ii) and a single cell analysis, that assigns each signal to the closest cell and get a signal count for each cell in the image. It also performs on-z_stacks of the cell with a maximum projection to project the image data into a 2D image.
Analyzes, processes and visualizes multi-dimensional microscopy images. BioImageXD puts open-source computer science tools for three-dimensional visualization and analysis into the hands of all researchers, through a user-friendly graphical interface tuned to the needs of biologists. BioImageXD has no restrictive licenses or undisclosed algorithms and enables publication of precise, reproducible and modifiable workflows. It allows simple construction of processing pipelines and should enable biologists to perform challenging analyses of complex processes.
Serves for effective segmentation of multidimensional datasets. MIB can recognize several number of imaging formats and offers a variety of image processing tools. It also simplifies utilization and quantification of acquired data. It permits users to segment large datasets, to realize 3D visualization, and to quantify images and models. Its parameters enable users to insert plugin s to customize the program for specific needs.