ML7710

Light-based enhancement of vaccination in humans

  Motivation Vaccines should activate all branches of immunity, including T cells and antibody responses, for generating a strong immune response. For therapeutic cancer vaccines, it is especially important to induce strong cytotoxic T-cell responses, since cytotoxic T-cells are the most potent immune cells for killing cancer cells. While cytotoxic T-cells can often be induced […]

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Optimizing photosensitizer administration for cancer therapy

Customer case University of Rochester belongs among the nation’s top research universities. Research at the Baran lab focuses on anti-microbial PDT and optical image processing. The aim is to develop methods for utilizing quantitative information from CT, MR and PET imaging for PDT treatment planning as well as in the search of new biomarkers and

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Optimized light delivery in pancreatic cancer

Customer case University of California at Irvine (UCI), founded in 1965, is a Top 10 public university in USA. It is recognized for cutting-edge and innovative scientific research. Modulight products: ML7710 (689 nm) Laser use: Targeted phototherapy studies with photo-immunoconjugates Link to the study: Nzola De Magalhães, Adjunct Assistant Professor   Motivation for the study Efficient

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Light delivery optimization for H&N cancer treatment

Results Illumination with one fiber Some level of tissue heating was observed at all used light intensities. At lower intensities (60-100 mW/cm), less than 5% of the tumor was subjected to >60 ⁰C temperature, a point where irreversible thermal damage will immediately occur (photothermal ablation). At intensities of 150-200 mW/cm, 15-20% of the tumor was

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Nanobody-targeted photodynamic therapy for the treatment of feline oral carcinoma: a step towards translation to the veterinary clinic

Published in: Nanophotonics Authors: Irati Beltrán Hernández, Guillaume C.M. Grinwis, Alessia Di Maggio, Paul M.P. van Bergen en Henegouwen, Wim E. Hennink, Erik Teske, Jan W. Hesselink, Sebastiaan A. van Nimwegen, Jan A. Mol, Sabrina Oliveira    

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