Researchers are exploring various methods for analyzing and manipulating biological cells, including the use of microfluidic acoustic flow cytometers and other technologies that combine acoustic or photoacoustic techniques with machine learning or deep learning. These approaches aim to enable label-free analysis and size estimation of cells and other small particles, such as microplastics. The development of these technologies is an active area of research, with multiple studies and techniques being investigated for their potential to enhance single-cell analysis and other applications.