Comparison Study of a-Se/CMOS Detector and Commercial Alternatives for High-Resolution X-Ray Imaging of Soil Structure
Computed tomography (CT) serves as a noninvasive technique for pinpointing specific areas within objects, facilitating the examination of soil distributions and localized flow processes within soil pore networks. CT scanning yields cross-sectional sequences that unveil insights into the internal structure of pore networks, which is crucial for understanding root–soil interactions. In this investigation, we explore the potential of employing a high-resolution amorphous selenium (a-Se) direct conversion detector coupled with complementary metal–oxide–semiconductor (CMOS) readouts for micro-CT scanning of soil matrices. This approach aims to visualize the aggregation status and pore network connectivity within intact soil. In addition, we compare the capabilities of the a-Se/CMOS detector with other commercially available detectors evaluating performance in terms of spatial resolution, noise levels, and overall imaging quality. The integration of a-Se’s intrinsic high spatial resolution with small-pixel CMOS readouts enables detailed visualization of soil aggregates in plant samples. By varying X-ray energy and soil thickness, we achieved a spatial resolution of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\leq$</tex-math></inline-formula> 25 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m and a noise-limited performance of eight photons/pixel at 20 keV. Although thick soil presents challenges due to high X-ray attenuation, finer details are discernible in thinner samples, underscoring the importance of careful selection of soil thickness and container material.
Authors
- N. Robert Bennett (ORCID: https://orcid.org/0000-0003-2386-4592)
- W. Cheng
- Adam Wang (ORCID: https://orcid.org/0000-0001-9234-1264)
- Shiva Abbaszadeh (ORCID: https://orcid.org/0000-0001-6345-2408)
- Michael G. Farrier
- Daniel Fiallo (ORCID: https://orcid.org/0009-0007-8660-8322)
Institutions
- University of California, Santa Cruz (US)
- North Central Michigan College (US)
- Stanford University (US)
Publication Details
- Journal
- IEEE Transactions on AgriFood Electronics
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1109/tafe.2025.3590771
- Primary Topic
- X-ray Spectroscopy and Fluorescence Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00