eLabFTW
Keep experiment notes, attachments, and shared lab records in a searchable browser workspace.
Search by task, tool name, or collection.
24 tools
Keep experiment notes, attachments, and shared lab records in a searchable browser workspace.
Capture experiments in shared notebook pages and standardize repeated entries with lab templates.
Connect experiment records, sample inventory, and equipment information in one lab workspace.
Organize lab work into projects, experiments, and tasks, with shared notebook entries and inventory records.
Connect a collaborative lab notebook to sample records and research data already stored elsewhere.
Maintain versioned research methods and share an updated reference with colleagues or readers.
Keep searchable research notes, files, and shared notebook pages in a managed service.
Keep an inventory of lab supplies and track requests, approvals, and orders in a shared workspace.
Move from a single-cell expression matrix to quality checks, clusters, and exploratory plots in Python.
Explore single-cell expression data in R, from initial filtering and clustering to comparisons across samples.
Browse public single-cell datasets, inspect gene expression and cell annotations, or download data for follow-up analysis.
Inspect single-cell expression data with quality-control summaries, embeddings, and plots built around Bioconductor objects.
Store expression matrices, gene and cell metadata, and embedding coordinates together in a standard R object.
Explore a prepared experiment in a browser with linked scatter plots, metadata tables, and expression views.
Flag likely doublets, where a capture event contains more than one cell, before downstream interpretation.
Estimate candidate cell-state transitions and fate probabilities from processed single-cell observations.
Open, inspect, and measure microscopy images in an ImageJ distribution that bundles common plugins.
Annotate whole-slide images, measure objects, and export measurements from tissue image projects.
Build reusable image-processing pipelines and export object measurements from batches of microscopy images.
Explore multidimensional images, overlay segmentation masks, and edit annotations in interactive layers.
Train image classifiers interactively by marking examples in a desktop interface, then export predictions for review.
Store microscopy images and metadata in a central repository for viewing, organization, and controlled sharing.
Read image pixels and acquisition metadata from many microscope formats and export to formats such as OME-TIFF.
Link detected objects across time-lapse frames and inspect or export the resulting trajectories.
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