For decades, manual approaches have played an important role in wood identification. With the development of computer vision, automatic methods require high-resolution digital images. This article considers different technologies and methods for extracting microscopic images and proposes an approach, which improves the sampling of microscopic images of wood samples. Possibilities for combined acoustic and optical microscope lenses used to obtain two different types of images to improve the quality of the final image are considered. We improve some properties of the optical elements: lenses, eyepieces, as well as optimize the setting of the device. The development of such a methodology includes knowledge of the optical laws of focal length,angles of view, radiation of bodies, polarization, diffraction, and absorption of light. Of particular importance for the capture of accurate and high-quality microscopic images is the preliminary preparation of the sample, which includes the choice of bearing and cover glasses with the appropriate optimal thickness, temperature influence when taking images, and illuminance. To this end, the study looks at various technologies such as using whole-slide imagining, aspherical lenses based on transparent adhesivepolymer, liquid, solid, and adaptive silicone lenses with an integrated piezoelectric actuator, as well as variations of them.

• Tsvetan Valkovski
• Nicole Christoff

AIP Conference Proceedings 2570, 040013 (2022)

https://aip.scitation.org/doi/abs/10.1063/5.0100474