Daniel Fiallo;N. Robert Bennett;Michael G. Farrier;Adam Wang;Weixin Cheng;Shiva Abbaszadeh
{"title":"Comparison Study of a-Se/CMOS Detector and Commercial Alternatives for High-Resolution X-Ray Imaging of Soil Structure","authors":"Daniel Fiallo;N. Robert Bennett;Michael G. Farrier;Adam Wang;Weixin Cheng;Shiva Abbaszadeh","doi":"10.1109/TAFE.2025.3590771","DOIUrl":null,"url":null,"abstract":"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><tex-math>$\\leq$</tex-math></inline-formula> 25 <inline-formula><tex-math>$\\mu$</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.","PeriodicalId":100637,"journal":{"name":"IEEE Transactions on AgriFood Electronics","volume":"3 2","pages":"561-568"},"PeriodicalIF":0.0000,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on AgriFood Electronics","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11111741/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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 $\leq$ 25 $\mu$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.