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Use when working with microfluidics, droplet microfluidics, lab-on-chip design, microfluidic flow control, digital PCR analysis, droplet-based single-cell encapsulation, chip layout generation, Fluige
Use with AI
Install the MCP server or CLI to instantly fetch Microfluidics documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/microfluidics
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
2 shared topics • 1 shared operation
Use when working with ggforce, the R package that extends ggplot2 with advanced geoms and statistical transformations for scientific visualization. Covers geom_mark_ellipse, geom_mark_hull, geom_mark_
2 shared topics • 1 shared operation
Use when working with PROGENy or footprintR — saezlab R/Python tools for inferring pathway and transcription factor (TF) activity from omics data. PROGENy computes activity scores for 14 cancer-releva
2 shared topics • 1 shared operation
scRepertoire -- R package for analyzing T cell receptor (TCR) and B cell receptor (BCR) repertoires from single-cell sequencing data. Integrates with Seurat and SingleCellExperiment objects to combine
2 shared topics • 1 shared operation
stLearn — spatial transcriptomics analysis in Python integrating gene expression with tissue morphology. Provides SME (spatial morphological gene expression) normalization, spatial clustering, spatial
2 shared topics • 1 shared operation