Napari — fast, interactive, multi-dimensional image viewer for Python built on Qt and vispy (OpenGL). Provides GPU-accelerated rendering of 2D, 3D, and nD image data with seven layer types (Image, Lab
Use with AI
Install the MCP server or CLI to instantly fetch Napari documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/napari
Bio-Formats — Java library for reading and writing microscopy image formats. Supports 160+ file formats including OME-TIFF, CZI (Zeiss), LIF (Leica), ND2 (Nikon), VSI (Olympus), and proprietary vendor
1 shared topic • 2 shared operations
bioio — plugin-based Python library for reading and writing biological microscopy and imaging files. Supports OME-TIFF, CZI (Zeiss), LIF (Leica), nd2 (Nikon), TIFF, PNG, and many more formats via form
1 shared topic • 2 shared operations
btrack is a Bayesian multi-object cell tracking library for time-lapse microscopy data. Tracks individual cells across frames using a Bayesian belief matrix and motion model. Integrates natively with
1 shared topic • 2 shared operations
cryoSPARC — cryo-EM single particle analysis platform for high-resolution 3D structure determination. Provides motion correction, CTF estimation, particle picking (blob, template, Topaz), 2D classific
1 shared topic • 2 shared operations
gt (Grammar of Tables) — R package for creating beautifully formatted, publication-ready display tables from data frames and tibbles. Provides a layered API for headers, spanners, column labels, numer
1 shared topic • 2 shared operations