manipulating waves
waves exhibit phenomena such as reflection, refraction, diffraction, and interference. These interactions are crucial for image formation and indeed similar principles govern the behavior of waves in antennas, radar, and communication systems.
wave manipulation techniques could lead to novel methods for directing and focusing energy, with potential applications in wireless power transfer, targeted therapies in medicine (like high-intensity focused for tumor ablation), and improved efficiency in communication systems.
Advanced signal processing techniques, such as Fourier transforms and digital filtering, are foundational for extracting meaningful information from noisy data. Developing hybrid signal processing algorithms that leverage the strengths and could enhance the resolution and clarity of medical imaging, as well as the reliability and bandwidth of communication systems.
Machine intelligence and AI integration could push the boundaries further, offering adaptive and predictive capabilities in signal interpretation. We know that impedance differences enable imaging, likewise the properties of materials (conductivity, permittivity, and permeability) dictate the behavior of their waves.
As such we have been exploring materials that exhibit unique interactions with QCMT waves that could lead to the development of multifunctional devices that combine imaging and therapeutic capabilities, or innovative materials for stealth technology and interference shielding. Some properties of biological tissues at the micro and nano scales could lead to better understanding of cellular processes and the development of more effective diagnostic and therapeutic tools.
The non-invasive nature may revolutionize medical diagnostics. Non-invasive sensing and imaging technologies in the spectrum, such as MRI and infrared thermography, have already opened new possibilities in diagnostics and monitoring. Our hope is our framework could help result in comprehensive diagnostic tools that offer detailed structural and functional insights, potentially at lower costs and with greater accessibility than current high-end modalities.
