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Infrared spectroscopic laser scanning confocal microscopy for whole-slide chemical imaging

Nature Communications 2023 40 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Kevin Yeh, Ishaan Sharma, Kianoush Falahkheirkhah, Matthew P. Confer, Andres C. Orr, Yen‐Ting Liu, Yamuna Phal, Ruo-Jing Ho, Manu Mehta, Ankita Bhargava, Wenyan Mei, Georgina Cheng, John C. Cheville, Rohit Bhargava

Summary

Scientists developed a new infrared microscope that can create chemical images of entire tissue slides in about 3 minutes, far faster than existing methods. While not directly about microplastics, this type of imaging technology could significantly speed up the detection and identification of microplastic particles in human tissue samples. Faster, more detailed chemical imaging tools are needed to better understand where microplastics accumulate in the body and what damage they cause.

Body Systems

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, compound, infinity-corrected refractive objectives. We demonstrate whole-slide, speckle-free imaging in ~3 min per discrete wavelength at 10× magnification (2 μm/pixel) and high-resolution capability with its 20× counterpart (1 μm/pixel), both offering spatial quality at theoretical limits while maintaining high signal-to-noise ratios (>100:1). The data quality enables applications of modern machine learning and capabilities not previously feasible - 3D reconstructions using serial sections, comprehensive assessments of whole model organisms, and histological assessments of disease in time comparable to clinical workflows. Distinct from conventional approaches that focus on morphological investigations or immunostaining techniques, this development makes label-free imaging of minimally processed tissue practical.

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