Immunofluorescence

Immunofluorescence (IF) Histopathology Services

Why Choose GlintLab for IF Histopathology?

  • Single-Plex and Multiplex Assays: We design and execute both single-plex IF assays for targeted investigations and multiplex IF assays for complex spatial and co-localization analyses.
  • Comprehensive Support: From primary and secondary antibody selection to protocol optimization, we provide end-to-end support for your immunofluorescence studies.
  • Multiplex Technology Expertise: Our team is skilled in selecting and implementing the most suitable multiplex technologies for your specific markers, tissue types, and species, ensuring high sensitivity and specificity.
  • Advanced Data Outputs: We deliver high-resolution whole-slide images and quantitative image analysis to help you extract actionable insights from your research.

Application Areas of Immunofluorescence:

Oncology and Immuno-Oncology

  • Immune cell profiling: CD3, CD4, CD8, CD68, PD1, PDL1, FoxP3, and more.
  • Tumor microenvironment analysis, including immune cell infiltration and spatial mapping.

Neuroscience

  • Detection of key neural markers: GFAP, Iba1, NeuN, S100β, MBP, and others.
  • Spatial analysis of neuroinflammatory or degenerative processes.

Dermatology

  • Epidermal and dermal marker analysis: COL1A1, Perilipin-1, CD31, and others.
  • Automated segmentation of the epidermis and dermis, vessel density and morphology analysis, etc.

Cellular and Molecular Biology

  • Tag-based detection: GFP, mCherry, HA Tag, and other fusion proteins.
  • Apoptosis markers: Cleaved Caspase 3, TUNEL, and others.
  • Analysis of quantitative expression, subcellular localization, and spatial patterns.

Customization for Your Research Goals

Every project at GlintLab begins with a collaborative approach. We work closely with you to:

  • Identify the optimal antibodies for your markers of interest.
  • Determine the best staining strategies for your tissue types, including FFPE and frozen tissues from human or animal models.
  • Optimize protocols to enhance signal detection and minimize background noise for clear, reliable results.
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