Web-Based Cell Type Enrichment Analysis and Physical Cell Enrichment

Enrichment analysis tests whether a set of genes or measurements is overrepresented in a defined category, such as genes associated with a cell type. Physical enrichment is different: it concentrates the cells themselves, for example by laser capture microdissection, so downstream measurements reflect a defined population.

Public single-cell RNA-seq datasets are available through repositories such as the Gene Expression Omnibus (GEO), the Human Cell Atlas, and the Single Cell Portal. These data are often used as references when interpreting enrichment results from your own samples.

Web-based tools infer which cell types contribute to a dataset after measurement. Physical enrichment selects cells before measurement. Combining the two lets researchers check that a captured population shows the expected marker profile and that conclusions are not driven by contaminating cell types.

Laxco lists FFPE and fresh-frozen tissue, H&E-stained and LCM-optimized stained sections, immunofluorescence, unstained samples, and cell culture for Accuva Cellect. The infrared laser suits single cells or small groups, and the UV laser suits larger regions and dense tissue.

LEAP AI uses pre-trained deep-learning segmentation through Media Cybernetics Image-Pro AI. Compare its output with manually annotated images from the same tissue and stain before relying on it, and review AI-selected regions before capture to keep control of each enriched sample.

Enriched populations can be used for RNA sequencing, DNA sequencing, qPCR, and mass spectrometry-based proteomics. Laxco's microgenomics workflow for Accuva Cellect includes LCM-optimized RNA extraction, protein extraction, amplification, and NGS library preparation as downstream options.

Yes. Laxco's Cellect Grant Assistance Program offers Grant Language Kits and a 15-minute Grant Fit consultation for NIH, NSF, HHMI, and DOD proposals that include Accuva Cellect. Laxco also provides on-site and virtual application training and live technical support.

Session length depends on the number of target cells, tissue complexity, and operator experience. Accuva Cellect's five-step software workflow with visual quality control guides selection and capture. Pilot sessions on representative tissue give the most reliable estimate.