Internal Scan Research Articles

Internal scanning hyperspectral imaging system for deep sea target detection

There is an increasing demand for advanced imaging systems in marine exploration capable of performing high-resolution spectral analysis of targets in deep-sea environments. Traditional push-broom underwater hyperspectral imaging systems obtain hyperspectral images by relying on platform movement, which limits their applicability in complex underwater conditions. To mitigate this issue, we present a novel internal scanning underwater hyperspectral imaging system. In this system, a two-stage rotating mirror mechanism is designed, achieving a maximum 36° internal scanning field of view while maintaining characteristics of direct-view, compact and simple. We analyze and correct the geometric distortions of the hyperspectral image caused by the internal scan. Calibrations and experiments show that the system operates within a spectral range of 400–1000 nm, achieving a spectral resolution better than 3 nm, and a maximum working depth of 6000 m.

Development of Research Core Competencies for Academic Practice Among Health Professionals: A Mixed-Methods Approach.

Of the 4 pillars of academic practice for nursing and allied health, research has been the least developed and no standard competency framework exists that is embedded in health professional scopes of practice. The objective of this article is to report on the preliminary development and pilot-testing of research and academic scholarship core competencies for nonphysician health professionals working within a large urban academic health sciences center. We conducted an internal and external environmental scan and multiphase consultation process to develop research and academic core competencies for health professionals working within an interprofessional setting. The final framework outlines 3 levels of research proficiency (novice, proficient, and advanced) and the relevant roles, specific competencies, and observable actions and/or activities for each proficiency level. Organizations should consider the integration of the framework within performance management processes and the development of a road map and self-assessment survey to track progress over time and support health professionals with their academic practice goals.

Co-Creating an Inclusion, Diversity, Equity, and Accessibility Strategy: Defining approach and outcomes in a health data research network

BackgroundHealth Data Research Network Canada (HDRN) has committed to strengthening data use to improve health equity. Key this priority is has been an increased operationalization of Inclusion, Diversity, Equity, and Accessibility (IDEA) across the organization and within the data research processes HDRN Canada supports. Missing, however, was a unifying strategy for embedding IDEA within all HDRN Canada initiatives. ApproachGuided by results from an internal environmental scan and network feedback, HDRN Canada began developing an IDEA strategy in 2023. With the end goal of embedding IDEA across all internal teams and across all HDRN Canada strategic goals, collaborative participation methods were chosen to involve all levels of the organization. A process was designed that included focus groups, interviews, and roundtables. ResultsCo-creating the IDEA strategy required broad buy-in including detailing expectations of the planning process in advance. A flexible management approach that enabled the team to adhere to the defined process allowed the Project Team to manage unanticipated challenges. 4 key strategies emerged focusing on learning, data quality and research, leadership, and community engagement. Developing the strategy with co-creative methods helped to identify practical approaches for HDRN to prioritize IDEA within its complex data research initiatives. ConclusionHDRN Canada has outlined its commitment to IDEA in the health data ecosystem. The co-created strategy supports efforts towards accomplishing its organizational objectives and priorities. It is also a valuable resource for those in the health data space working to ensure data research contributes to equitable health outcomes.

Sharia Cooperative Readiness for Adopting the Industry 4.0: Evidence of Sharia Cooperatives in Bandung

The phenomenon is a challenge to examine more deeply about how ready cooperatives in Indonesia, including Sharia cooperatives, face Industry 4.0, which is rolling rapidly following technological developments. The objectives of this research are knowing the existing conditions of internal and external factors of Islamic cooperatives in Bandung, for implementing industry 4.0 and .The method used in this research is descriptive. This research was conducted with a cross sectional one shoot. The sampling technique used is total sampling. Qualitative data collection techniques through deep online interviews to a sharia cooperative management in Bandung. Quantitative data were collected using a questionnaire method of about 7 of sharia cooperative in Bandung. The result of this research is the analysis of the internal environmental scan obtained the strength of the Islamic cooperative in the form of key points for success, efficient sources and use of funds, employee competence, reward system, cooperative social responsibility. Meanwhile, the weakness is in the form of insufficient funds. The results of external environmental scanning analysis are in the form of service innovation, collaboration with system developers, collaboration with creditors, automation, vendor / supplier support, method support. The strategies that can be selected are in the form of market development, market penetration, product development, forward integration, backward integration, horizontal integration, related diversification.

Detectability by X-ray micro computed tomography of fatigue initiating void defects in laser powder-bed additively manufactured Ti-6Al-4V coupons

Non-destructive inspection is important for the quality assurance of additively manufactured components. In this study, X-ray micro Computed Tomography (µCT) was assessed for its capabilities and limitations to detect fatigue-initiation porosities in Ti-6Al-4V additively manufactured coupons. Cylindrical coupons were built using laser powder-bed fusion (L-PBF) from three different vendors and four different L-PBF machines that utilized their default process parameters. Using OEM prescribed default process parameters, there was significant variability in the defect distribution between machine to machine and also coupon to coupon that was on the same build plate, primarily due the difference in the internal quality assurance procedures and scan strategies adopted by each vendor. The probability of detection for conventional µCT (cubic voxel size 17.77 µm) was investigated by comparing with what was detected using a Synchrotron Radiation Micro Computed Tomography (SRµCT) at cubic voxel size 5.91 µm. It was found that µCT’s detectability relative to SRµCT was approximately 90% for defect diameters of the circumscribed sphere of 230 µm and above and 100% for diameters of 340 µm and above (12–14 times the voxel size of the µCT scan). The type of defect was a key factor to the detectability of large sized defects (>200 µm in diameter) due to the flatness and elongated shape factors. Fatigue results showed the critical defect √Area at the surface was approximately 100 µm at 500 MPa stress level, where significant scatter in fatigue life was observed. Post-fatigue test fractography identified different types of fatigue initiating defects, of which a ‘flat’ lack-of-fusion type defect was undetectable by either µCT or SRµCT. This type of defect was extremely flat and occupied very little spatial resolution through the build direction which limited the detection by automated threshold-based defect detection algorithms.

Comparative Analysis of Simulation Techniques: Scan Compression and Internal Scan

With advancement in technology, the feature size of transistors is shrinking and the transistor count in a circuit design is exponentially increasing. As a result, it is hard to control and observe internal nodes leading to complexity in locating and debugging faults specially for sequential circuits. Design for Testability (DFT) provides a way for fault detection of the circuit under test in less simulation duration with little increase in area. Many techniques are proposed under DFT for pattern simulation. In this paper, we have compared two such pattern simulation techniques namely scan compression and internal scan. The experiment is performed on different benchmark circuits, it is observed the simulation time is significantly reduced with increased coverage and a little area overhead.

Enhanced artificial intelligence-based diagnosis using CBCT with internal denoising: Clinical validation for discrimination of fungal ball, sinusitis, and normal cases in the maxillary sinus

Background and objective: The cone-beam computed tomography (CBCT) provides three-dimensional volumetric imaging of a target with low radiation dose and cost compared with conventional computed tomography, and it is widely used in the detection of paranasal sinus disease. However, it lacks the sensitivity to detect soft tissue lesions owing to reconstruction constraints. Consequently, only physicians with expertise in CBCT reading can distinguish between inherent artifacts or noise and diseases, restricting the use of this imaging modality. The development of artificial intelligence (AI)-based computer-aided diagnosis methods for CBCT to overcome the shortage of experienced physicians has attracted substantial attention. However, advanced AI-based diagnosis addressing intrinsic noise in CBCT has not been devised, discouraging the practical use of AI solutions for CBCT. We introduce the development of AI-based computer-aided diagnosis for CBCT considering the intrinsic imaging noise and evaluate its efficacy and implications.Methods: We propose an AI-based computer-aided diagnosis method using CBCT with a denoising module. This module is implemented before diagnosis to reconstruct the internal ground-truth full-dose scan corresponding to an input CBCT image and thereby improve the diagnostic performance. The proposed method is model agnostic and compatible with various existing and future AI-based denoising or diagnosis models.Results: The external validation results for the unified diagnosis of sinus fungal ball, chronic rhinosinusitis, and normal cases show that the proposed method improves the micro-, macro-average area under the curve, and accuracy by 7.4, 5.6, and 9.6% (from 86.2, 87.0, and 73.4 to 93.6, 92.6, and 83.0%), respectively, compared with a baseline while improving human diagnosis accuracy by 11% (from 71.7 to 83.0%), demonstrating technical differentiation and clinical effectiveness. In addition, the physician’s ability to evaluate the AI-derived diagnosis results may be enhanced compared with existing solutions.Conclusion: This pioneering study on AI-based diagnosis using CBCT indicates that denoising can improve diagnostic performance and reader interpretability in images from the sinonasal area, thereby providing a new approach and direction to radiographic image reconstruction regarding the development of AI-based diagnostic solutions. Furthermore, we believe that the performance enhancement will expedite the adoption of automated diagnostic solutions using CBCT, especially in locations with a shortage of skilled clinicians and limited access to high-dose scanning.

Comparative Analysis of Simulation Techniques: Scan Compression and Internal Scan

Comparative Analysis of Simulation Techniques: Scan Compression and Internal Scan

A Rapid-Learning Health System to Support Implementation of Early Intervention Services for Psychosis in Quebec, Canada: Protocol.

BackgroundGiven the strong evidence of their effectiveness, early intervention services (EIS) for psychosis are being widely implemented. However, heterogeneity in the implementation of essential components remains an ongoing challenge. Rapid-learning health systems (RLHSs) that embed data collection in clinical settings for real-time learning and continuous quality improvement can address this challenge. Therefore, we implemented an RLHS in 11 EIS in Quebec, Canada.ObjectiveThis project aims to determine the feasibility and acceptability of implementing an RLHS in EIS and assess its impact on compliance with standards for essential EIS components.MethodsFunding for this project was secured in July 2019, and ethics approval was received in December 2019. The implementation of this RLHS involves 6 iterative phases: external and internal scan, design, implementation, evaluation, adjustment, and dissemination. Multiple stakeholder groups (service users, families, clinicians, researchers, decision makers, and provincial EIS associations) are involved in all phases. Meaningful EIS quality indicators (eg, satisfaction and timeliness of response to referrals) were selected based on a literature review, provincial guidelines, and stakeholder consensus on prioritization of indicators. A digital infrastructure was designed and deployed comprising a user-friendly interface for routinely collecting data from programs; a digital terminal and mobile app to collect feedback from service users and families regarding care received, health, and quality of life; and data analytic, visualization, and reporting functionalities to provide participating programs with real-time feedback on their ongoing performance in relation to standards and to other programs, including tailored recommendations. Our community of practice conducts activities, leveraging insights from data to build program capacity while continuously aligning their practices with standards and best practices. Guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework, we are collecting quantitative and qualitative data on the reach, effectiveness, adoption, implementation, and maintenance of our RLHS for evaluating its impacts.ResultsPhase 1 (identifying RLHS indicators for EIS based on a literature synthesis, a survey, and consensus meetings with all stakeholder groups) and phase 2 (developing and implementing the RLHS digital infrastructure) are completed (September 2019 to May 2020). Phases 3 to 5 have been ongoing (June 2020 to June 2022). Continuous data collection through the RLHS data capture platforms and real-time feedback to all stakeholders are deployed. Phase 6 will be implemented in 2022 to assess the impact of the RLHS using the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework with quantitative and qualitative data.ConclusionsThis project will yield valuable insights into the implementation of RLHS in EIS, offering preliminary evidence of its acceptability, feasibility, and impacts on program-level outcomes. The findings will refine our RLHS further and advance approaches that use data, stakeholder voices, and collaborative learning to improve outcomes and quality in services for psychosis.International Registered Report Identifier (IRRID)DERR1-10.2196/37346

Injury surveillance in the Canadian Armed Forces: An environmental scan

LAY SUMMARY Injuries can affect the operational readiness, wellness, and careers of Canadian Armed Forces (CAF) personnel. Many injuries are preventable; thus, it is important for the CAF to create a sustainable, accurate, and timely injury surveillance system (ISS) that can be used to describe injury incidence, populations at risk, and other causal factors to effectively direct injury prevention efforts. As a first step in the creation of an ISS, the authors conducted a rapid environmental scan that included a review of both the peer-reviewed scientific literature and publicly available information, along with an internal organization scan, to gather information on ISS facilitators, barriers, recommendations, data sources, and potential injury indicators. The results of this work will be used to plan the next steps in the development and implementation of the CAF ISS. In addition, this information can be used to facilitate engagement and collaboration with stakeholders and decision makers to ensure that the ISS collects and reports key data needed to target and prioritize interventions most likely to have the greatest impact on reducing injuries and improving the health and operational readiness of CAF personnel.

EVALUATION OF LUNG FUNCTION AFTER SARS-COV-2 PNEUMONIA

TOPIC: Pulmonary Physiology TYPE: Original Investigations PURPOSE: To investigate the patients' lung function at 3 and 6 months after hospital discharge for Coronavirus Disease 2019 (COVID-19) pneumonia. METHODS: A prospective lung function assessment has been conducted with spirometry measurements, including lung volumes, lung diffusion capacity for carbon monoxide (DLCO) with alveolar volume (VA), and transfer coefficient (KCO) determination. Patients with a restrictive ventilatory defect or impaired DLCO were re-evaluated at 6 months with global spirometry and chest HRCT scan. RESULTS: 40 patients have been enrolled in the study. Among them, 19 (48%) had normal pulmonary function tests (group A), and 21 (52%) showed residual lung function abnormalities at 3 months after hospital discharge (group B). In group B, 4 patients (19%) had an isolated loss of lung volume (Subgroup B1), 13 patients (62%) had both lung volume, and DLCO decreased (Subgroup B2), and 4 patients (19%) had isolated reduction in DLCO (Subgroup B3). At the 6-month follow-up visit, in Subgroup B1, although all patients improved, only one normalized the total lung capacity (TLC). In Subgroup B2, TLC and DLCO increased significantly (p<0.01), but only 3 patients reached normal values. In Subgroup B3, DLCO improved for most patients, normalizing in 50% of them. Always at the 6-months follow-up visit, significant correlations between an internal chest HRCT scan severity score and TLC (r2=0.33;p<0.01) and DLCO (r2=0.32;p<0.01) has been found. CONCLUSIONS: Nearly 50% of patients recovered in the post-critical phase. Most of those with abnormal pulmonary function tests at the 3-months follow-up visit had an improvement at the 6-month evaluation, but only 29% reached normal values. CLINICAL IMPLICATIONS: In patients with previous COVID-19 pneumonia, lung function spontaneous recovery is faster at first. However, at 6-months after hospital discharge, this recovery process goes more slowly, leaving more than one-third of patients with abnormal lung function tests. DISCLOSURES: No relevant relationships by Francesca Cettolo, source=Web Response No relevant relationships by Manuela Ciarfaglia, source=Web Response No relevant relationships by Jordan Franz Giordani, source=Web Response No relevant relationships by Michele Guerini, source=Web Response No relevant relationships by Guido Levi, source=Web Response No relevant relationships by Nicla Orzes, source=Web Response No relevant relationships by Laura Pini, source=Web Response No relevant relationships by Alessandro Pini, source=Web Response No relevant relationships by Claudio Tantucci, source=Web Response No relevant relationships by Silvia Uccelli, source=Web Response

Capturing the big picture

This project report describes an internal scan of library staff involved in instruction in a large academic library system. 64 semi-structured interviews were conducted and qualitatively analysed in order to produce a summary of instruction across the library system, and both the challenges faced and supports desired by these instructors. The most often mentioned challenges included the wide variety of students and class characteristics encountered, limitations around time, and navigating faculty expectations. The supports described with greatest frequency were professional development opportunities to support instruction practice, a greater sense of community among those doing instruction, and increased awareness of instruction practices both across the library system and in the institution at large. These finding allowed the authors to form recommendations for the library system to help advance instruction in support of teaching and research in the institution.

A comprehensible short list of ecological network analysis indices to boost real ecosystem-based management and policy making

Some basic choices are discussed based on two recently proposed short lists of Ecological Network Analysis (ENA) related indices to assess food webs and ecosystems. The discussion is on the use of either internal carbon flow matrices or extended carbon flow matrices, weighted or unweighted indices and the use of ENA or not ENA related indices. The preference here is the use of weighted indices based on double hand-balanced extended carbon flow matrices. The indices that best seem to be able to serve policy makers and meet most of the requirements of different European Directives (WFD, MSFD) are Relative Overhead (Φ/DC) indicating the systems' resilience, Relative Ascendency (A/DC) indicating the efficiency of the systems’ carbon flow organisation, the Detritivory/Herbivory (D/H) indicating the importance of the detritus flow compared to primary production products, the Connectance Index (CI) indicating the number of connections among all the species (or compartments), The Finn Cycling Index (FCI) expressed as the cycled portion of the Total System Throughflow (TSTc) divided by the Total System Throughput (TSTp) indicating the carbon turnover within the system and the Mean/Average Trophic Level (written as MTL or ATL). In comparison with the medical world, the (Φ/DC) and the FCI can be considered as the thermometer and the stethoscope of the ecosystem, while the CI represents an internal system structure scan comparable to a MRI scan. The D/H ratio and the MTL can be considered as the Diet Quality and the Body Mass indices. These “medical” check-ups (indicators) indicate whether a system operates well and whether it can be considered as being “healthy”.

Identifying the state of social accountability at the University of Ottawa Faculty of Medicine through an internal environmental scan

MedEdPublish (ISSN 2312–7996) is a highly visible, open access, specialist practitioner e-journal that enables academics, teachers, clinicians, researchers and students to publish their experiences, views and research findings relating to teaching, learning and assessment in medical and health professions education. An innovative and key feature of MedEdPublish is that the peer review process begins following publication.

Serum cortisol and serum testosterone levels in idiopathic central serous chorioretinopathy

Aim: To analyse the serum cortisol and serum testosterone levels in idiopathic central serous chorioretinopathy. Material and methods: The prospective interventional study was conducted in the central laboratory associated with the Department of Ophthalmology, Subharti Medical College, Meerut. A study was conducted in 30 cases of CSR. The patients were divided into two groups i.e. Group A (15 patients with unilateral sudden painless loss of vision of less than one month of duration serving as cases and Group B (15 patients with no signs and symptoms serving as control). Evaluation of Macular thickness was done using OPTOVUE RTvue 100 OCT procedure. After pupil dilation, the patient is seated at the machine, asked to fixate at the internal fixation point and scan is obtained. The macular thickness map was taken to measure the thickness of macula. Fundus Fluorescein Angiography (FFA) was done, if required. Patients of both the groups underwent investigations such as dilated fundus examination, serum cortisol and serum testosterone levels. Results: Mean serum cortisol (μg/dL) among the case group was higher as compared to the control group with statistically significant difference as p

Improving Quality Management in Higher Education Institutions in Developing Countries through Strategic Planning

The objective of the paper was to provide an overview of strategic planning and how a Strategic Plan (SP) can be developed and implemented effectively in Higher Education Institution (HEIs) in developing countries for continuous quality improvement. Related literature was reviewed and analysed using the narrative synthesis approach. It was established from the review that a SP serves as a framework for determining the quality path a HEI should chart to achieve its desired future. Advantages of strategic planning include; providing opportunity for relevant constituencies to participate in institutional governance, synchronising plans towards achieving institutional goals; prioritising for efficient allocation of resources, and engaging stakeholders for collective ownership of institutional agenda. SPs are developed based on internal and external environmental scan for institutional strengths, weaknesses, opportunities, and threats; and aligned with institutional mission, vision, values, and goals. Issues for consideration in strategic planning may include academic (teaching, research, and extension) matters, institutional governance, finance, infrastructure, Information and Communication Technology, human resource, institutional advancement and internationalisation. Challenges in planning and implementation of SPs in HEIs in developing countries include resource constraints, inadequate expertise and commitment, as well as resistance to change. For effective implementation of a SP, there should be an implementation plan that details who should do what at what time and with which resources. Successful strategic planning and implementation of the Plan depend on commitment of and collaboration among qualified planners, implementers, monitors, evaluators and other relevant stakeholders.

Development of a Dental School Strategic Plan to Inform Interprofessional Education.

Changes in U.S. health care delivery systems and Commission on Dental Accreditation standards provide impetus for interprofessional education (IPE) and collaborative practice, but roadmaps for engaging dental and dental hygiene faculty to incorporate IPE in a systematic manner are limited. The purpose of this report is to describe the process for creating a strategy and gathering a variety of baseline data to use for determining objectives and metrics and the subsequent development of an IPE strategic plan at the University of North Carolina (UNC) at Chapel Hill Adams School of Dentistry (SOD). SOD IPE committee members included representation from the UNC Schools of Dentistry, Medicine, Pharmacy, and Business. A three-phase framework was developed. Phase 1 (IPE assessment) was an internal environmental scan including a 2017 faculty survey, departmental mapping of IPE activities, comparison of UNC with national results on the IPE component of the American Dental Education Association (ADEA) survey of dental school seniors (2016 graduating class), identification of faculty joint/adjunct appointments at other UNC schools, and a strengths, weaknesses, opportunities, threats (SWOT) analysis. Phase 2 (visioning) consisted of development of IPE mission, vision, and priorities. In Phase 3 (implementation), priorities were developed. Data-gathering led to a strategic plan with three objectives: 1) increase faculty engagement and recognition, 2) develop predoctoral dentistry and dental hygiene IPE curricula, and 3) develop an infrastructure that supports IPE. Specific initiatives and activities, supporting metrics, and estimated costs were developed for each objective. The framework guided a systematic, transparent, and organized process for collecting and monitoring the evidence and directing activities. A three-year strategic plan for IPE was developed in 2017, and implementation is ongoing.

Size-specific dose estimations for pediatric chest, abdomen/pelvis and head CT scans with the use of GATE

PurposeThe purpose of this study is to create an organ dose database for pediatric individuals undergoing chest, abdomen/pelvis, and head computed tomography (CT) examinations, and to report the differences in absorbed organ doses, when anatomical differences exist for pediatric patients. MethodsThe GATE Monte Carlo (MC) toolkit was used to model the GE BrightSpeed Elite CT model. The simulated scanner model was validated with the standard Computed Tomography Dose Index (CTDI) head phantom. Twelve computational models (2.1–14 years old) were used. First, contributions to effective dose and absorbed doses per CTDIvol and per 100 mAs were estimated for all organs. Then, doses per CTDIvol were correlated with patient model weight for the organs inside the scan range for chest and abdomen/pelvis protocols. Finally, effective doses per dose-length product (DLP) were estimated and compared with the conventional conversion k-factors. ResultsThe system was validated against experimental CTDIw measurements. The doses per CTDIvol and per 100 mAs for selected organs were estimated. The magnitude of the dependency between the dose and the anatomical characteristics was calculated with the coefficient of determination at 0.5–0.7 for the internal scan organs for chest and abdomen/pelvis protocols. Finally, effective doses per DLP were compared with already published data, showing discrepancies between 13 and 29% and were correlated strongly with the total weight (R2 > 0.8) for the chest and abdomen protocols. ConclusionsBig differences in absorbed doses are reported even for patients of similar age or same gender, when anatomical differences exist on internal organs of the body.

Automated high accuracy, rapid beam hardening correction in X-Ray Computed Tomography of multi-mineral, heterogeneous core samples

X-ray Computed Tomography scanning is an innovative procedure that allows representing the internal structure of samples. Among its several purposes, X-ray CT is widely used for investigation of petrophysical properties of porous media. To provide accurate results, it is necessary to have high quality scan images, free of artefacts. One of the most problematic artefacts is beam hardening, which, in cylindrical shapes, increases the attenuation values with increasing distance from the centre. Until now, no automatic solution has been proposed for cylindrically-shaped cores that is both computationally feasible and applicable to all geological media. A new technique is here introduced for correcting beam hardening, using a linearization procedure of the beam hardening curve applied after the reconstruction process. We have developed an automated open source plug-in, running on ImageJ software, which does not require any a priori knowledge of the material, distance from the source or the scan conditions (current, energy), nor any segmentation of phases or calibration scan on phantom data. It is suitable for expert and non-expert use, alike. We have tested the technique on μCT scan images of a plastic rod, a sample of loose sand, several heterogeneous sandstone core samples (with near-cylindrical shapes), and finally, on an internal scan of a Berea sandstone core. The Berea core was also scanned using a medical X-ray CT scanner with a fan-beam geometry, as opposed to a cone beam geometry, showing that our algorithm is equally effective in both cases. Our correction technique successfully removes the beam hardening artefact in all cases, as well as removing the cupping effect common to internal scans. For a Berea Sandstone, with a porosity of 20%, porosity calculated using the corrected scan is 20.54%, which compares to a value of 14.24% using the software provided by the manufacturer.

Development of a hyperspectral imaging technique with internal scene scan for analysing the chemistry of food degradation

Hyperspectral imaging (HSI) can provide valuable information about the spatial distribution of ingredients in an object, therefore the technique has been widely adopted in numerous applications, ranging from remote sensing and land planning, food quality control, to biomedical applications. However, HSI instruments are expensive, which has limited the technique to some high-end applications. In this study, we developed a cost-effective HSI technique with an internal scene-scan mechanism, which enables rapid acquisitions of a scene without moving the instrument or the tested object. The apparatus was characterised, revealing an imaging resolution of 0.4 mm in a field of view (FoV) of 10 cm and a spectral resolution of 1.3 nm in the 40–800 nm visible light region. We succeeded in applying our apparatus to analyse the oxidation processes of apple and meat, which demonstrated our design and relevant data analysis to be of high value to visualise chemistry related to food quality and safety.