HISTOLOGY & BIOMARKER SERVICES

Our automated approach to histology provides highly reproducible, multiplexed and quantitative biomarker studies as well as data to illustrate your compound’s effects :

- Tissue sourcing: automated dehydration and embedding in paraffin of ex-vivo explants, Reconstituted Human Epidermis or skin biopsies.
- Staining can be performed for any protein expression : IHC staining or any other dyes (Hematoxylin/Eosin for structural analysis, Sirius Red for Collagen expression … as well as multiplexed fluorescence.
- Automation: automated imaging and cytometric segmentation of IF/IHC-stained tissue sections or Tissue Micro Arrays.
- Multiplexed biomarker quantification: quantitative biomarker scoring with spatial information at the single-cell level (biomarker intracellular localization, subcellular and cellular morphological features) allowing subpopulation analyses.

Human skin staining

We are able to handle, stain (IHC or multiplex in IF) and quantify biomarkers with spatial information at the single-cell level allowing subpopulation analyses in Human skin explant. For example :

- Morphology of skin tissue such as epidermal thickness, morphology of epidermis layers Hematoxylin Eosin
- Cell to cell adhesion E-Cadherin
- Barrier function of the skin through Loricrin and filaggrin staining
- Proliferation markers to study tissue regeneration or uncontrolled proliferation Ki67

Hematoxylin Eosin

E-Cadherin

Ki67

Loricrin

Nucleus (blue) Loricrin (red) Filaggrin (green)

Reconstituted Human Epidermis staining

We are able to handle, stain and quantify biomarkers with spatial information at the single-cell level, allowing for subpopulation analyses in Reconstituted Human epidermis. For example :

- Morphology of skin tissue such as epidermal thickness, morphology of epidermis layers Hematoxylin Eosin
- Cell to cell adhesion E-Cadherin
- Barrier function of the skin through Loricrin and filaggrin staining
- Proliferation markers to study tissue regeneration or uncontrolled proliferation Ki67

Hematoxylin Eosin

E-Cadherin

Ki67

Loricrin

Nucleus (blue) Loricrin (red) Filaggrin (green)

Skin Biomarker Quantification

Processing of IHC images using color and texture information. Once the layer of interest inside the skin has been identified, we can compute several readouts such as cell count or thickness. For example :

- Loricrin staining: Loricrin area is extracted using color features to compute its thickness
- Ki67 staining: Cell counting inside the epidermis and identification of the Ki67 sub-population e.g. Percentage of Ki67 positive cells inside the epidermis (brown stained cells)

Epidermis (green), Negative cells (blue), Ki67+ cells (red)

Ki67 Boundaries representation of the extracted objects

Loricrin Boundaries of the Loricrin area inside the Epidermis

Skin Layers Identification & Quantification

Color and Texture information and Supervised Machine Learning algorithms can be used to identify the different skin layers of Hematoxylin Eosin images inside a database. It is possible to quantify the morphology of skin tissue such as epidermal thickness, percentage, etc.

Hematoxylin Eosin

Result of the Layers Identification

Boundaries Visualization