eLabFTW
Keep experiment notes, attachments, and shared lab records in a searchable browser workspace.
Search by task, tool name, or collection.
124 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.
Record experimental work in a shared notebook with templates, attachments, and references to inventory.
Catalog samples, supplies, and equipment in configurable laboratory records.
Organize experimental records, shared methods, and inventory in a project workspace.
Track laboratory samples, work assignments, review steps, and results through configured workflows.
Manage sample and test records in a browser-based laboratory information system.
Coordinate sample and result records, lab tasks, and review in one informatics platform.
Use a connected notebook and sample-management system to organize lab work and results.
Build lab workflows that link sample records, task queues, and results.
Organize research datasets and collaborate around structured, permission-controlled records.
Connect lab records and research datasets in a structured repository with project-level organization.
Track sample reception, work queues, results, and review in a configurable LIMS.
Track research specimens, aliquots, storage locations, and distributions.
Locate samples and aliquots in configured freezer layouts and manage inventory records.
Centralize laboratory inventories, storage locations, and shared equipment records.
Catalog biodiversity specimens, collection events, and associated records in a shared database.
Coordinate core facility requests and equipment schedules in a common booking system.
Make shared resources discoverable and manage reservations with local booking rules.
Schedule shared laboratory equipment and organize related lab operations in a common portal.
Book shared facility resources with configurable project rules and approvals.
Give teams a browser calendar for reserving shared rooms, equipment, or other resources.
Reserve meeting and instrument rooms in an uncomplicated shared calendar.
Build a research data repository with dataset versions, metadata, and citations.
Deploy a configurable research repository for datasets, publications, and related records.
Deposit research outputs in a public repository and obtain a persistent identifier for released records.
Organize study materials, files, collaborators, and registrations in a research project workspace.
Track dataset history and retrieve large file contents only when they are needed.
Version data and record pipeline stages alongside the Git history for an analysis project.
Transfer and synchronize large research files between configured storage collections.
Build structured research data capture forms with validation and exports.
Work with notebooks, files, terminals, and data views in a browser-based analysis environment.
Render research notes and code into reports, presentations, books, or websites.
Run file-based analysis pipelines by declaring how each output depends on inputs and commands.
Describe data-processing steps and run the same workflow on supported local or remote computing backends.
Record and restore a project-specific set of R package versions.
Keep a cell-by-feature matrix, annotations, and embeddings aligned in one object.
Organize modality-specific matrices and shared annotations together in a single container.
Fit probabilistic models for tasks such as learning shared expression embeddings or transferring labels.
Summarize the arrangement of cells or spots in tissue with spatial neighbor graphs and coordinate-aware plots.
Keep expression tables, images, labels, and points in a common spatial data model.
Process measurements from separate modalities and combine their neighborhood information for exploratory analysis.
Assign provisional cell-type labels to RNA expression profiles using a selected pretrained classifier.
Run supported single-cell preprocessing and analysis steps on a GPU.
Browse large expression datasets with linked embeddings, expression plots, and cluster composition views.
Estimate RNA velocity to examine candidate directions of change among observed cell states.
Read common droplet data formats and distinguish candidate cells from background droplets.
Reduce batch differences between expression datasets with methods including mutual nearest-neighbor correction.
Compare single-cell expression profiles with labeled references to suggest cell identities.
Retrieve labeled expression references for human and mouse cell annotation.
Exchange H5AD expression data between Python's AnnData format and Bioconductor's SingleCellExperiment class.
Test expression differences within annotated cell populations across samples, including pseudobulk analysis.
Test for differences in cell abundance across graph neighborhoods without relying on a single partition into clusters.
Fit candidate branching trajectories through clusters and order cells along those trajectories.
Fit smooth gene expression trends along inferred trajectories and compare patterns between branches.
Compare expression by cell type across cohorts, including designs with repeated samples.
Create configurable plots for expression, composition, and embeddings with colorblind-friendly palette options.
Overlay gene-weighted density on an embedding to show where expression from one or more features is concentrated.
Score individual cells against predefined gene sets using expression ranks.
Keep spatial coordinates and image metadata aligned with expression assays in a Bioconductor object.
Load selected published single-cell count datasets and annotations into ready-to-analyze R objects.
Normalize UMI expression with a model that accounts for sequencing depth and stabilizes variation across genes.
Align single-cell datasets in a low-dimensional space while accounting for selected batch variables.
Use R interfaces to compiled routines for single-cell quality control, clustering, and marker summaries.
Find Human Cell Atlas projects and inspect their sample, tissue, and file metadata.
Explore public studies through interactive plots and retrieve the files their owners have made available.
Search single-cell expression studies across species and inspect gene expression patterns within individual experiments.
Open hosted datasets and color cell embeddings by gene expression or sample metadata.
Browse reference brain cell expression and spatial data to compare annotated neural populations.
Generate instance masks for cells or nuclei in microscopy images and inspect them in a graphical interface.
Detect and segment individual nuclei and other compact objects using learned star-convex shapes.
Run pretrained instance segmentation models on fluorescence or brightfield microscopy images to delineate cells and nuclei.
Prompt a microscopy segmentation model with points or boxes to outline objects and refine them interactively.
Run compatible pretrained models inside ImageJ for tasks such as microscopy segmentation or image restoration.
Register and fuse tiled or multiview microscopy acquisitions to build a larger volume.
Navigate large multiview volumes at several resolutions without loading the entire image into memory.
Apply mathematical morphology to clean masks, separate touching objects, and measure labeled structures in 2D or 3D.
Run filtering, labeling, and measurement operations on an OpenCL-compatible GPU from Fiji workflows.
Estimate and correct uneven illumination and background variation across microscopy images.
Assemble reusable image and object analysis workflows from modules for loading, segmentation, measurement, and output.
Read regions of multiresolution whole-slide images without loading the full slide.
Extract tiles from whole-slide images and organize research workflows for model training and evaluation.
Process histology images with tools for stain handling, nuclei analysis, and feature extraction.
Visualize, segment, and register volumetric images in an interactive research application.
Inspect 3D image stacks and create segmentation masks using manual editing or semi-automatic tools.
Explore very large volumes, label layers, and meshes in a browser using multiresolution data sources.
Create and review image or video labels in a browser and export them for model development.
Read, write, and inspect OME-Zarr image pyramids and labels from a Python workflow.
Load multidimensional microscopy images through format-specific readers and access their dimensions and metadata in Python.
Combine filtering, segmentation, morphology, and region measurement in array-based image analysis scripts.
Apply image filtering and registration while retaining physical image geometry in scripted workflows.
Search and download published biological imaging datasets with study metadata.
Browse curated imaging studies and their metadata in a public OMERO-based resource.
Browse large biomedical images and collaborate on regions and annotations in browser-based projects.
Restore microscopy images using deconvolution and inspect the results in a scientific imaging suite.
Render 3D and time-series microscopy data, create objects, and quantify their geometry or motion.
Build workflows for viewing, segmenting, and measuring multidimensional microscopy images with interactive tools.
Visualize large volumes and build repeatable image analysis pipelines for microscopy data.
Control supported Nikon image acquisition and organize or measure microscopy data within the same software family.
Acquire, view, and analyze microscopy images with modules matched to supported ZEISS instruments.
Explore, segment, and measure 3D image volumes with interactive visualization and image-processing tools.
Set up microscopy image analysis routines and aggregate measurements across image collections.
Try a broader term or clear the collection filter.