# Absolute Quantification and Spatial Mapping of Hyaluronic Acid in Histological Tissue Sections

## TL;DR

This paper introduces a new method to measure and map hyaluronic acid levels in tissues, providing detailed spatial and quantitative insights.

## Contribution

The novel integration of immunofluorescence, ELISA, and image analysis enables pixel-level hyaluronic acid quantification in tissues.

## Key findings

- The method generates spatial maps of hyaluronic acid concentration at the pixel level.
- Validation across multiple tissues shows the method is robust and scalable.
- The approach is applicable to other extracellular matrix components.

## Abstract

We present an accessible methodology for the absolute
quantification
and spatial mapping of hyaluronic acid (HA) in paraffin-embedded tissues.
Although HA plays critical roles in tissue hydration, organization,
and disease progression, its local concentration and spatial distribution
remain poorly defined due to the lack of quantitative measurement
tools. By integrating immunofluorescence, ELISA, and image analysis
our approach enables the generation of pixel-level HA concentration
maps. This strategy bridges the gap between qualitative imaging modalities
and bulk biochemical assays, offering both spatial resolution and
quantitative data. The method is validated across multiple tissues
and is robust, scalable, and readily applicable to other extracellular
matrix components, offering a practical tool for studying tissue microenvironments
in health, disease, and biomaterial design.