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.
A tool for creating and analyzing realistic, meaningful, and quantifiable neuron reconstructions from microscope images. Perform detailed morphometric analysis of neurons, such as quantifying: 1) the number of dendrites, axons, nodes, synapses, and spines, 2) the length, width, and volume of dendrites and axons, 3) the area and volume of the soma and 4) the complexity and extension of neurons.
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.
Automates analysis of neuronal morphologies in immuno-fluorescence images. SynD intends to assist users in quantifying dendrite and synapse characteristics. The application performs successively the detection of soma, neurites, and synapses. It can be used to enable the simultaneous analysis of multiple morphological features and permits the screening of genetic and pharmacological treatments.
Allows quantitative detection of membrane compartments at subcellular resolution in intact epidermal tissue. Endosome Detection is a method using quantitative confocal laser microscopy (QCLM) to reveal stress adjustment of membrane trafficking in living Arabidopsis whole-leaf tissue. It enables handling of large sample sets at high-throughput and automated image analysis recording multiparametric quantitative values.
Identifies cells, and produces a stack of images with the same number of images as the original raw stack, where the identified cells are reproduced in corresponding locations. DeadEasy Larval Glia permits users to count automatically glial cells labelled with anti-Repo in the Drosophila larval nervous system (VNC). Moreover, this tool can also be used for any other nuclear markers in larval tissues so long as the nuclei are not too close together.
Performs interactive segmentation and investigation of 3D+t microscopy datasets containing cell boundary information. CellECT allows users to add, delete, or modify segments. It offers an adaptive confidence metric assisting users in the recognition of areas of uncertain segmentation. This tool enables the detection of spurious boundaries and can suggest corrections. Moreover, it can be useful for assessing the quality of segmentations and the efficiency of the available metrics.