Chemical imaging, especially mid-infrared spectroscopic microscopy, enables label-free biomedical analyses while achieving expansive molecular sensitivity. However, its slow speed and poor image quality impede widespread adoption. We present a microscope that provides high-throughput recording, low noise, and high spatial resolution where the bottom-up design of its optical train facilitates dual-axis galvo laser scanning of a diffraction-limited focal point over large areas using custom infinity-corrected objectives. The data quality enables applications of modern machine learning and capabilities not previously feasible. Distinct from conventional approaches that focus on morphological investigations or immunostaining, this development makes label-free imaging of minimally processed tissue practical.
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