Estimating composite material properties can be computationally expensive and time-consuming. Researchers propose a Reduced Basis Homogenization Method (RBHM) to enhance homogenization based on a Finite Element Method (FEM). This RBHM significantly improves computational efficiency while maintaining high accuracy.

Researchers have identified a skin tone bias in photoacoustic imaging methods used for breast cancer diagnosis. A recent study published in Biophotonics Discovery compared three reconstruction techniques—FFT, DAS, and SLSC—across various skin tones and wavelengths. While traditional methods struggled with target visibility under darker skin tones, particularly at 757 and 800 nm wavelengths, a technique combining the 1064-nm wavelength combined with SLSC beamforming significantly improves image clarity across all skin tones, offering a promising advancement for equitable breast cancer detection.