Taiana Deodato
CEO
CB
Clepio Biotech
This biotechnology company provides comprehensive 3D histological analysis of tissue samples using advanced light-sheet microscopy. Their technology enables deeper insights for improved diagnoses and more effective treatment development, aiming to integrate 3D histology into routine clinical practice.
- Artificial Intelligence
- Data & Analytics
- Biotechnology
- Healthcare Technology
Updated 5 months ago
Funding
Funding rounds are not available yet.
Founders
Claudia Capitini
Head of the Biology Laboratory
Ludovico Silvestri
CSO
Product
Problem
Traditional histological analysis relies on 2D sections, which can miss critical spatial relationships and limit the ability to quantitatively assess tissue architecture. Existing methods often require manual region-of-interest selection, leading to potential bias and loss of valuable information from the entire sample. Analyzing large tissue samples with subcellular resolution is challenging due to limitations in image quality and data processing workflows.
Solution
Clepio Biotech offers comprehensive 3D histological analysis of biological tissues using advanced light-sheet microscopy and proprietary image analysis pipelines. Their technology enables quantitative, scalable volumetric analysis with high resolution and throughput, providing a complete picture of tissue architecture and biomarker distribution. Clepio Biotech images the entire sample without pre-selection of regions of interest, ensuring no data is lost. They also provide dedicated quantification tools to assist with data processing and analysis, delivering actionable insights from terabytes of imaging data.
Target Audience
Clepio Biotech serves researchers, pathologists, and physicians in preclinical and clinical research settings who require quantitative, high-resolution 3D analysis of biological tissues.
Features
- Patented autofocus and light-sheet stabilization systems for high-contrast, sub-cellular resolution across the entire sample
- Full sample imaging, eliminating the need for pre-selection of regions of interest
- 3D analysis of histological biomarkers, providing volumetric maps of spatial distribution
- 3D pseudo-H&E imaging for navigating through full-resolution tissue maps
- Quantification of cell distribution, generating spatial coordinates of selected cell types
- Neuronal activation mapping for quantifying neuronal activation in large samples
- Vasculature tracking for reconstructing and analyzing the 3D structure of vascular networks
- Volumetric drug distribution analysis for evaluating the spatial reach of pharmacological treatments