Fiji Software
Fiji Software - Related Videos
08:57
Quantification of Optic Nerve Cross Sectional Area on MRI: A Novel Protocol using Fiji Software
0 Views •
2021
We provided a detailed protocol for a standardized method of optic nerve assessment and quantification using MRI, utilizing a widely available imaging sequence, and open access software for image analysis. Following this standardized protocol would provide meaningful data for comparison between different patients and different studies.
10:09
EasyFiji: A Graphical Interface for User-Friendly Fluorescence Image Processing in Fiji
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2026
EasyFiji is a graphical user interface plugin for Fiji (ImageJ) that provides a curated suite of fluorescence image visualization and processing tools frequently utilized by life scientists.
08:35
Mapping Microglial Parameters Software (MMPS): An Open-Source, User-Friendly Tool for Quantitative Microglia Morphology Analysis
0 Views •
2026
Mapping Microglial Parameters Software (MMPS) is a user-friendly analysis pipeline that requires no coding expertise and semi-automates single-cell microglial morphology analysis from immunofluorescence images. Validated in a rodent lipopolysaccharide-induced neuroinflammation model, MMPS reproducibly detects activation-associated morphological changes and enables standardized, scalable microglial phenotyping.
10:41
VisualEyes: A Modular Software System for Oculomotor Experimentation
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Cited by 28 •
2011
Neural control and cognitive processes can be studied through eye movements. The VisualEyes software allows an operator to program stimuli on two computer screens independently using a simple, custom scripting language. The system can stimulate tandem eye movements (saccades and smooth pursuit) or opposing eye movements (vergence) or any combination.
08:32
Imaging C. elegans Embryos using an Epifluorescent Microscope and Open Source Software
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Cited by 8 •
2011
The C. elegans embryo is a powerful system for studying cell biology and development. We present a protocol for live imaging of C. elegans embryos utilizing DIC optics or fluorescence using readily available epifluorescent microscopes and open-source software.
FAQs
Plugins add specialized functions, while scripts and macros allow researchers to customize or automate sequences of analysis steps. Together, these components support image enhancement, segmentation, intensity measurement, visualization, and repeatable processing. Their combination is especially useful when investigators need to apply the same analytical workflow across many images or adapt processing to a particular neuroscience experiment.
Segmentation separates structures or regions of interest so researchers can analyze them individually rather than treating the entire image as one measurement. In neuroscience, this can support quantitative studies of neuronal morphology, synaptic markers, or cellular features. Combining segmentation with intensity quantification helps connect identified structures with measurable fluorescence or other image-derived values.
Reproducibility comes from combining macros, scripting tools, and an extensible architecture into customized processing pipelines. Researchers can organize repeated enhancement, segmentation, measurement, and visualization steps rather than relying only on manual operations. This approach helps standardize methods across datasets and supports consistent analysis when experiments generate large numbers of images.
A workflow can begin by enhancing an image to make relevant features easier to examine, followed by segmenting structures and quantifying measurements such as intensity. Visualization then helps researchers inspect the processed data, while macros or scripts can automate repeated steps. The exact sequence can be customized for the imaging modality and scientific question.
Fiji supports several neuroscience applications described in the source material, including fluorescence microscopy, neuronal morphology, synaptic-marker analysis, and time-lapse recordings. Investigators can use image processing and measurement tools to examine cellular structures or activity-related image data. Its ability to handle customized pipelines also makes it relevant across diverse neuroscience imaging experiments.
Macros and scripting tools can automate repeated image-processing and measurement steps across large datasets, reducing reliance on individually performed operations. Researchers can combine enhancement, segmentation, intensity quantification, and visualization within a customized pipeline. This supports more standardized analysis of fluorescence images, neuronal structures, synaptic markers, and time-lapse recordings.