The Case History of an Insect Infestation Revealed Using X-ray Computed Tomography and Implications for Museum Collections Management Decisions

Arbat, Shivani; Forschler, Brian T.; Mondi, Annelies M.; Sharma, Ajay

doi:10.3390/heritage4030056

Cited by 5 publications

(4 citation statements)

References 16 publications

(19 reference statements)

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“…Both cross-sectional and 3D-rendered images can capture important data that would not be accessible by destructive examination alone. Quantitative data on modern 3D-image processing techniques can be collected on either the larvae or can serve to evaluate the extent of damage caused to the plant (Arbat et al, 2021). The possibilities of the employment of human diagnostic CT equipment are described in this work emphasising both its entomological advantages and limitations when studying the example of a hidden lifestyle insect.…”

Section: Discussionmentioning

confidence: 99%

A conceptualisation of computed tomography outputs in entomological research by step by step displaying trough the CT-based visualization of a wood-boring larvae

Donkó¹,

Petneházy²,

Fajtai³

et al. 2022

APhyt

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The non-invasive diagnostic methods represent a new branch of insect diagnostics, which can provide novel information especially about insects with hidden lifestyle. Computed tomography (CT) is one of the most useful non-destructive techniques allowing for both qualitative and quantitative assessments. The aim of the present study was to attain entomological information through the implementation of CT imaging, hence contributing to the spread of non-invasive imaging in entomological research. Through monitoring the development of wood-dwelling cerambycid larvae in beech branches, we point out some outputs applicable in entomological studies, which originate from CT image post-processing. We present findings on the location, and size of specimens of some hidden arthropods, as well as cavities formed by them, stemming from the maximum and minimum intensity projections, windowing, 3D-reconstruction, or virtual endoscopy, as steps of the imaging. In summary, it is expected that our findings contribute to a wider recognition of the entomological information that can be gathered from these non-invasive imaging techniques.

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Section: Discussionmentioning

confidence: 99%

A conceptualisation of computed tomography outputs in entomological research by step by step displaying trough the CT-based visualization of a wood-boring larvae

Donkó¹,

Petneházy²,

Fajtai³

et al. 2022

APhyt

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“…Due to the density of pests, the implementation workload is large and prone to misjudgment. Other traditional methods, such as the carbon dioxide measurement method [5], passive acoustic detection [6], ultra-wideband detection [7], and X-ray computed tomography [8], have been successfully used to detect insect pests. These methods are usually integrated into the detection systems and appropriate equipment to support them must be developed.…”

Section: Introductionmentioning

confidence: 99%

Aphid Recognition and Counting Based on an Improved YOLOv5 Algorithm in a Climate Chamber Environment

Li,

Wang,

Miao

et al. 2023

Insects

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Due to changes in light intensity, varying degrees of aphid aggregation, and small scales in the climate chamber environment, accurately identifying and counting aphids remains a challenge. In this paper, an improved YOLOv5 aphid detection model based on CNN is proposed to address aphid recognition and counting. First, to reduce the overfitting problem of insufficient data, the proposed YOLOv5 model uses an image enhancement method combining Mosaic and GridMask to expand the aphid dataset. Second, a convolutional block attention mechanism (CBAM) is proposed in the backbone layer to improve the recognition accuracy of aphid small targets. Subsequently, the feature fusion method of bi-directional feature pyramid network (BiFPN) is employed to enhance the YOLOv5 neck, further improving the recognition accuracy and speed of aphids; in addition, a Transformer structure is introduced in front of the detection head to investigate the impact of aphid aggregation and light intensity on recognition accuracy. Experiments have shown that, through the fusion of the proposed methods, the model recognition accuracy and recall rate can reach 99.1%, the value mAP@0.5 can reach 99.3%, and the inference time can reach 9.4 ms, which is significantly better than other YOLO series networks. Moreover, it has strong robustness in actual recognition tasks and can provide a reference for pest prevention and control in climate chambers.

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“…The scan data can be further processed to object volume, cross-sectional area, density, and porosity (Brock et al 2022). µ-CT has been used to study potential termite activities in wooden art frames and wood-boring beetles in maritime pine boards (Arbat et al 2021;Parracha et al 2021). The studies showed µ-CT's capabilities as a non-invasive method of identifying damage and providing a timeframe for planned maintenance of items (França et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Assessment of termite damage in cross-laminated timber sections using micro-computed tomography and vibration analysis

Shirmohammadi¹,

Faircloth²,

Chan³

et al. 2023

BioRes

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The durability of engineered wood products (EWPs) is a parameter yet to be fully investigated and understood. This is specifically important for mass timber structures and cross-laminated timber (CLT) panels. The effect of termites and scale of damage on radiata pine sawn boards have been previously investigated. However, the effects of glue line and the layered structure of CLT exposed to termite feeding in the field in Australia have not been studied. A total of 420 CLT specimens with different exposed faces and layer arrangements were exposed to termite attack in the field. Microcomputer tomography and vibration analysis were used to assess sample conditions before and after 20 weeks exposure. The observed changes showed damage patterns within samples where a glue line and different growth ring patterns were present. The termites created continuous damage along the longitudinal cells through the length and width of the samples. The 3D data showed that the edge gap on the face of panels could potentially act as a pathway for termites entering the core or mid-layers of the panel. The vibration frequency values were lower for samples after the termite exposure. The vibration analysis results showed significant effects of sample direction exposed to termite attack, and percentage of mass loss had significant effects on internal friction and damping values determined.

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The Case History of an Insect Infestation Revealed Using X-ray Computed Tomography and Implications for Museum Collections Management Decisions

Cited by 5 publications

References 16 publications

A conceptualisation of computed tomography outputs in entomological research by step by step displaying trough the CT-based visualization of a wood-boring larvae

A conceptualisation of computed tomography outputs in entomological research by step by step displaying trough the CT-based visualization of a wood-boring larvae

Aphid Recognition and Counting Based on an Improved YOLOv5 Algorithm in a Climate Chamber Environment

Assessment of termite damage in cross-laminated timber sections using micro-computed tomography and vibration analysis

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