Cell culturing system optimized for Raman spectroscopy imaging

Cell culturing system optimized for Raman spectroscopy imaging

J. Plou Izquierdo, E. López Corrillero, A. Seifert, S. Merkens, M. Márquez López

Priority date:
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Ownership
  • CIC nanoGUNE (95%)
  • BIOEF (5%)
Description

This patent application introduces a modular biochip system designed for in situ and real-time Raman spectroscopy imaging of cell cultures. The biochip is engineered to miniaturize and automate cell culture processes, enabling the acquisition of Raman spectra under various conditions. The biochip integrates a culturing chamber with a specialized observational interface, allowing continuous monitoring of metabolic changes in cells without requiring sample extraction or process interruption. It is particularly well-suited for high-resolution studies, addressing common challenges such as the obstruction of Raman light by standard materials and the disruption caused by bulky probes.

Key features include a customizable chamber volume, maintenance of sterility throughout the process, and the use of environmentally friendly, reusable components. The design supports continuous monitoring, reduces waste, and lowers operational costs, facilitating detailed observation of cellular responses to various stimuli in real-time. The system’s automation and miniaturization capabilities also streamline the development of predictive models for cell culture based on Raman spectra, making it a valuable tool in PAT applications within the biotech industry.

Claims
  • A biochip comprising a culturing chamber with a fluid inlet, an observational interface for spectroscopy measurement, and a chamber volume adjustment system.
  • The system is optimized for Raman spectroscopy, utilizing materials like quartz and fused silica for the observational interface to ensure transparency and low interference.
  • The biochip design includes modular components that can be reused, contributing to reduced environmental impact.
Applications

The biochip system can be used for various applications, including drug development, disease control, real-time monitoring of cell metabolism, and reducing the need for animal testing by providing a more accurate simulation of tissue environments.

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