Software Tutorials (with Video Guides)

ImageJ is a free, open-source image analysis software developed by the NIH.
It is widely used in biomedical research for tasks such as image processing, segmentation, particle analysis, and intensity measurements. With its plugin-based architecture and macro scripting support, ImageJ is highly extensible and well-suited for customized workflows.

Imaris is a commercial software for 3D and 4D visualization and analysis of microscopy data. Designed for researchers working with confocal, light sheet, and other volumetric imaging techniques, Imaris provides advanced tools for surface rendering, tracking, colocalization, and statistical analysis. It offers an intuitive interface and powerful performance for large datasets.

Arivis Vision4D is a high-performance platform for handling, visualizing, and analyzing large-scale multi-dimensional image data.
Especially suited for light sheet and whole-organ imaging, Arivis offers scalable 3D/4D visualization, object tracking, machine learning-based segmentation, and GPU-accelerated performance. It is widely adopted in digital pathology, neuroscience, and developmental biology.

QuPath is an open-source software platform for bioimage analysis, specifically designed for digital pathology and whole slide image (WSI) analysis.
It offers powerful tools for tissue detection, cell segmentation, biomarker quantification, and machine learning-based classification. QuPath supports a wide range of image formats and integrates with external tools such as ImageJ, Python, and OpenCV, making it highly extensible for both research and clinical applications.

Huygens is a professional software suite developed by Scientific Volume Imaging (SVI) for deconvolution and restoration of microscopy images.
It supports a wide range of modalities including confocal, widefield, STED, and light sheet microscopy. Huygens offers advanced deconvolution algorithms, 3D visualization, and quantitative analysis, making it ideal for improving image resolution and signal-to-noise ratio.

MetaXpress is a high-content image acquisition and analysis software developed by Molecular Devices.
It is widely used in automated microscopy for high-throughput screening, especially in drug discovery and cell-based assays. MetaXpress offers powerful image analysis modules, machine learning capabilities, and seamless integration with automated imaging systems.

Python is a versatile and widely used programming language in scientific computing, automation, and data analysis. With its rich ecosystem of open-source libraries, Python provides powerful tools for image processing, visualization, and machine learning. It is particularly suitable for building reproducible pipelines and integrating different types of experimental data.

MetaMorph is a comprehensive image acquisition and analysis software developed by Molecular Devices.
It is widely used for controlling microscopes, cameras, and stage devices in fluorescence and live-cell imaging. MetaMorph provides tools for time-lapse acquisition, ratiometric imaging, multi-channel acquisition, and quantitative analysis, making it ideal for research in cell biology and physiology.

ZEN is ZEISS’s proprietary software platform for microscope control, image acquisition, and analysis.
Designed for a wide range of ZEISS microscopy systems, ZEN supports confocal, super-resolution, and widefield imaging. It provides intuitive workflows, AI-based segmentation tools, 3D rendering, and experiment automation, making it highly versatile for both basic and advanced imaging applications.

LAS X is Leica Microsystems’ imaging software for microscope system control and multidimensional data analysis.
It supports a full range of modalities including confocal, STED, and light-sheet microscopy. LAS X enables users to design complex experiments with ease, perform real-time image analysis, and manage multi-dimensional datasets for both live and fixed samples.