Bridging the gap in medical education: comparing analysis of light microscopy and virtual microscopy in histology.

This study aims to investigate the impact of virtual microscopy (VM) and light microscopy (LM) on the satisfaction of second-year medical students and how they affect student performance in different educational settings. The research involved 94 second-year students from Izmir Democracy University's School of Medicine, with criteria requiring enrollment in the 2021-2022 academic year and attendance of at least 80% in histology practical course. A paired two-tailed t-test was used for comparison, with a researcher-designed questionnaire for data collection. Cronbach's alpha was 0.894 for the LM questionnaire, and 0.918 for the VM questionnaire, indicating high level of reliability. LM scored higher in the questionnaire (p = 0.010), but VM showed higher exam averages (p = 0.013). The study found VM more effective in exams, with students showing high satisfaction with LM. VM's accessibility to histological preparations and its impact on learning levels and board exam success rates were noted. The study concludes that while VM is becoming essential in histology education due to its positive impact on exam performance and accessibility, LM remains highly valued by students for its hands-on experience and satisfaction levels.

Digital morphology network for effective teaching of cytology, histology and histopathology for medical and biology curriculum. VM3.0 Erasmus+ project.

INTRODUCTION: Digital microscopy transformation, the basis for the virtual microscopy applications, is a challenge but also a requirement in modern Medical Education. This paper presents the scope, background, methods, and results of the project "Digital Transformation of Histology and Histopathology by Virtual Microscopy (VM) for an Innovative Medical School Curriculum", VM3.0, funded by the European Union under the Erasmus+ framework (ref.no.2022-1- RO01-KA220-HED-000089017). The project was initiated at Grigore T. Popa University of Medicine and Pharmacy, Iași, Romania, with the support of Euroed Foundation, Iași, and cooperation of University partners from Gdansk (Poland), Plovdiv (Bulgaria), Alicante (Spain), and Patras (Greece) aimed to implement digital histology and histopathology teaching in a common network. MATERIALS AND METHODS: The backbone of the project was the development of a Digital Slide Platform based on the scans of histological slides collected from all the partners of the participating universities and the creation of a simple and fast digital/internet communication tool that could be used to improve histology and histopathology teaching of medical and natural sciences students. The construction of a Virtual Microscopy Library (VML) has been based on the acquisition of whole scans of high-quality histological slides stained by hematoxylin and eosin (H&E) and other classical staining methods and description of various organs' details in English as well as respective languages of the project's partners. The VML can be used for different approches, both for students' instruction in classes as well as for individual students' work and self-testing. Universities from other countries could use the modal structure of the developed VML system on the condition that more slides are provided and the implementation of national language(s) is implemented. CONCLUSIONS: The combined efforts of all university partners allowed to establish the dynamic low-cost virtual microscopy educational system. The VM system could help unify the standards of cytology, histology, and histopathology teaching in a quest for the digital transformation of the European educational system.

E-learning module for cytopathology education based on virtual microscopy.

INTRODUCTION: In cytopathology education, Virtual Microscopy e-learning modules (VM-eLM) have achieved remarkable results in the improvement and personalization of learning. However, it remains to be determined whether these modules can significantly contribute to improving the accuracy of cytological diagnosis. The aim of this work was to create a VM-eLM for gynecologic cytopathology education designed to improve screening and interpretation skills in two groups of cytologists: experienced and nonexperienced. MATERIALS AND METHODS: The module was designed in Moodle with both Whole Slide Images and Static Images taken from Papanicolaou smears that were diagnosed as: negative for intraepithelial lesion, low-grade squamous intraepithelial lesion, high-grade squamous intraepithelial lesion, squamous cell carcinoma, or adenocarcinoma. We assessed the effectiveness of the module using 1) clinical quality indicators to measure skill development and 2) a user survey. RESULTS: After training, participants significantly improved their cytological screening skills, decreasing their false negative diagnosis by 78% in the non-experienced group and eliminating them entirely in the experienced group. Nonexperienced participants also significantly increased their recognition of low-grade squamous intraepithelial lesion and high-grade squamous intraepithelial lesion by 31% and 50%, respectively. Participants positively evaluated the module, highlighting its novelty, the possibility to train remotely, the immediate feedback and the quality of the Whole Slide Images. CONCLUSIONS: We designed, implemented and tested a VM-eLM for Gynecologic Cytopathology Education that improved cytological screening skills for both non-experienced and experienced cytologists, also increasing the diagnostic accuracy of preinvasive lesions by less experienced cytologists. The module was positively evaluated by participants, who perceived an improvement in their interpretive skills.

Validating instructional design and predicting student performance in histology education: Using machine learning via virtual microscopy.

As a part of modern technological environments, virtual microscopy enriches histological learning, with support from large institutional investments. However, existing literature does not supply empirical evidence of its role in improving pedagogy. Virtual microscopy provides fresh opportunities for investigating user behavior during the histology learning process, through digitized histological slides. This study establishes how students' perceptions and user behavior data can be processed and analyzed using machine learning algorithms. These also provide predictive data called learning analytics that enable predicting students' performance and behavior favorable for academic success. This information can be interpreted and used for validating instructional designs. Data on the perceptions, performances, and user behavior of 552 students enrolled in a histology course were collected from the virtual microscope, Cytomine®. These data were analyzed using an ensemble of machine learning algorithms, the extra-tree regression method, and predictive statistics. The predictive algorithms identified the most pertinent histological slides and descriptive tags, alongside 10 types of student behavior conducive to academic success. We used these data to validate our instructional design, and align the educational purpose, learning outcomes, and evaluation methods of digitized histological slides on Cytomine®. This model also predicts students' examination scores, with an error margin of <0.5 out of 20 points. The results empirically demonstrate the value of a digital learning environment for both students and teachers of histology.

Deep Learning Neural Network-Guided Detection of Asbestos Bodies in Bronchoalveolar Lavage Samples.

INTRODUCTION: Asbestos is a global occupational health hazard, and exposure to it by inhalation predisposes to interstitial as well as malignant pulmonary morbidity. Over time, asbestos fibers embedded in lung tissue can become coated with iron-rich proteins and mucopolysaccharides, after which they are called asbestos bodies (ABs) and can be detected in light microscopy (LM). Bronchoalveolar lavage, a cytological sample from the lower airways, is one of the methods for diagnosing lung asbestosis and related morbidity. Search for ABs in these samples is generally laborious and time-consuming. We describe a novel diagnostic method, which implements deep learning neural network technology for the detection of ABs in bronchoalveolar lavage samples (BALs). METHODS: BALs with suspicion of asbestos exposure were scanned as whole slide images (WSIs) and uploaded to a cloud-based virtual microscopy platform with a neural network training interface. The images were used for training and testing a neural network model capable of recognizing ABs. To prioritize the model's sensitivity, we allowed it to also make false-positive suggestions. To test the model, we compared its performance to standard LM diagnostic data as well as the ground truth (GT) number of ABs, which we established by a thorough manual search of the WSIs. RESULTS: We were able to reach overall sensitivity of 93.4% (95% CI: 90.3-95.7%) in the detection of ABs in comparison to their GT number. Compared to standard LM diagnostic data, our model showed equal to or higher sensitivity in most cases. CONCLUSION: Our results indicate that deep learning neural network technology offers promising diagnostic tools for routine assessment of BALs. However, at this stage, a human expert is required to confirm the findings.

Methods for Assessing Students' Learning of Histology: A Chronology Over 50 Years!

Over the past 50 years technology has made teaching and learning more interesting and has been a useful tool to motivate students to learn.Students today can learn using computers, iPads and mobile devices to access increasing numbers of educational websites and many eLearning apps. E-learning is now an integral component of most teaching delivery. There have been many innovations utilising both technology-enhanced and interactive learning strategies to revolutionise histology teaching. Now learning resources can be successfully delivered via the Internet, so students can complete all learning outcomes away from the traditional histology classroom environment (i.e. study histology online).The rapid developments in technologies and computer-based learning opportunities coincided with the appearance of Teaching and Learning Centres in Universities promoting teaching practices and supporting more improved learning strategies.This chapter describes how assessments in histology have become an important tool for student learning. A chronological documentation of various assessment opportunities enabled by the increasing use of technology will be described. In particular, assessment packages that engage students and return immediate feedback make histology learning efficient and significantly improve students' performance on examinations.Assessment strategies described here may be useful for "early career" histology teachers engaging eLearning and/or new teaching departments at new universities embarking on presenting curricula in newly established medical, dental and biomedical/health science programmes.This chapter is also an historical account of at least some assessment practices in histology over the past 50 years. Perhaps similar practices were used to assess student learning in other closely related disciplines such as anatomy including neuroanatomy.

Teaching Cellular Architecture: The Global Status of Histology Education.

Histology or microanatomy is the science of the structure and function of tissues and organs in metazoic organisms at the cellular level. By definition, histology is dependent on a variety of microscope techniques, usually light or more recently virtual, as well as electron microscopy. Since its inception more than two centuries ago, histology has been an integral component of biomedical education, specifically for medical, dental, and veterinary students. Traditionally, histology has been taught in two sequential phases, first a didactic transfer of information to learners and secondly a laboratory segment in which students develop the skill of analyzing micrographic images. In this chapter, the authors provide an overview of how histology is currently taught in different global regions. This overview also outlines which educational strategies and technologies are used, and how the local and cultural environment influences the histology education of medical and other students in different countries and continents. Also discussed are current trends that change the teaching of this basic science subject.

Online, Interactive, Digital Visualisation Resources that Enhance Histology Education.

Teaching histology is expensive, particularly in some universities with limited or ageing resources such as microscope equipment and inadequate histological slide collections. Increasing numbers of student enrolments have required duplications of laboratory classes. Such practical classes are staff intensive and so teaching hours are increased. Technology can now solve many of these issues but perhaps, more importantly, can also cater to the self-directed and independent learning needs of today's learners.This chapter will describe and evaluate distinct innovations available on a global scale, utilising both technology-enhanced and interactive learning strategies to revolutionise histology teaching via successful online delivery of learning resources. Histology students can access these innovations to maximise their learning and enable them to complete all learning outcomes away from the traditional classroom environment (i.e., online). Most appropriately, all of these innovations address and help solve cognitive challenges that students experience in histology learning.Lecture recording platforms with engaging functionalities have enabled students to view lectures online. Using new innovative histology resources has eliminated the need for students to attend practical histology laboratory sessions. Instead, students can now study histology successfully and enjoyably in their own time. Learners can interact with unlimited numbers of high-quality images and click on hyperlinked text to identify key features of histological structures. Students can now use virtual microscopy to view digitised histological sections (virtual microscopy) at increasing levels of magnification. Consequently, there is no requirement for academic staff to be present when directing students through their learning objectives, which therefore eliminates formal, scheduled practical classes. The learning platforms offer a variety of formative assessment formats. On completion of a quiz, instant feedback can be provided for students, which makes histology learning efficient and can significantly improve student performance in examinations.However, there remains the issue that three-dimensional (3D) interpretation from traditional two-dimensional (2D) representations of cell, tissue, and organ structure can be cognitively challenging for many students. The popularity of using animations and 3D reconstructions to help learners understand and remember information has greatly increased since the advent of powerful graphics-oriented computers. This technology allows animations to be produced much more easily and cheaply than in previous years, whilst Cinema 4D technology has enhanced a new paradigm shift in teaching histology. 3D reconstruction and animations can meet the educational need and solve the dilemma.

Virtual Microscopy Goes Global: The Images Are Virtual and the Problems Are Real.

For the last two centuries, the scholarly education of histology and pathology has been based on technology, initially on the availability of low-cost, high-quality light microscopes, and more recently on the introduction of computers and e-learning approaches to biomedical education. Consequently, virtual microscopy (VM) is replacing glass slides and the traditional light microscope as the main instruments of instruction in histology and pathology laboratories. However, as with most educational changes, there are advantages and disadvantages associated with a new technology. The use of VM for the teaching of histology and pathology requires an extensive infrastructure and the availability of computing devices to all learners, both posing a considerable financial strain on schools and students. Furthermore, there may be valid reasons for practicing healthcare professionals to maintain competency in using light microscopes. In addition, some educators may be reluctant to embrace new technologies. These are some of the reasons why the introduction of VM as an integral part of histology and pathology instruction has been globally uneven. This paper compares the teaching of histology and pathology using traditional or VM in five different countries and their adjacent regions, representing developed, as well as developing areas of the globe. We identify general and local roadblocks to the introduction of this still-emerging didactic technology and outline solutions for overcoming these barriers.

Digital Examination of LYmph node CYtopathology Using the Sydney system (DELYCYUS): An international, multi-institutional study.

BACKGROUND: After a series of standardized reporting systems in cytopathology, the Sydney system was recently introduced to address the need for reproducibility and standardization in lymph node cytopathology. Since then, the risk of malignancy for the categories of the Sydney system has been explored by several studies, but no studies have yet examined the interobserver reproducibility of the Sydney system. METHODS: The authors assessed interobserver reproducibility of the Sydney system on 85 lymph node fine-needle aspiration cytology cases reviewed by 15 cytopathologists from 12 institutions in eight different countries, resulting in 1275 diagnoses. In total, 186 slides stained with Diff-Quik, Papanicolaou, and immunocytochemistry were scanned. A subset of the cases included clinical data and results from ultrasound examinations, flow cytometry immunophenotyping, and fluorescence in situ hybridization analysis. The study participants assessed the cases digitally using whole-slide images. RESULTS: Overall, the authors observed an almost perfect agreement of cytopathologists with the ground truth (median weighted Cohen κ = 0.887; interquartile range, κ = 0.210) and moderate overall interobserver concordance (Fleiss κ = 0.476). There was substantial agreement for the inadequate and malignant categories (κ = 0.794 and κ = 0.729, respectively), moderate agreement for the benign category (κ = 0.490), and very slight agreement for the suspicious (κ = 0.104) and atypical (κ = 0.075) categories. CONCLUSIONS: The Sydney system for reporting lymph node cytopathology shows adequate interobserver concordance. Digital microscopy is an adequate means to assess lymph node cytopathology specimens.

Appraisal of the PathoDiscovery: an interactive web-based educational tool for teaching pathophysiology and histopathology.

Virtual pathology education has shown to enhance the students' learning experience. At the Radboud University, an E-learning platform-called the "PathoDiscovery"-was developed and first used in a course about neoplasm development amongst first year (bio)medical sciences students. The PathoDiscovery incorporates high-power microscopic images, histological annotations, interactive questions and pre-programmed feedback.The objective of our study was to develop and evaluate the PathoDiscovery within the "Neoplasm" course focusing on student perceptions of usability and utility. For this study the online feedback on the PathoDiscovery that was obtained anonymously from (bio)medical students over two consecutive academic years was analyzed. The responses of the first year were used to make improvements. After the second year, the feedback of the two academic years was compared. The rating of the E-learning increased from 6.8 (n = 285) to 7.4 (n = 247) after implementation of feedback obtained in the first year. The students judged the structure as logical (90%). The content was considered easy or just right (57%), matched the learning objectives (76%), and contributed to knowledge development (78%). We conclude that the first experiences with the PathoDiscovery are positive for both students and lecturers; it is an example of a dynamic online learning tool that is easily adaptable and is well suited for a blended learning approach.

Changes in oral pathology teaching methods during the COVID-19 pandemic and the impact on student performance (oral pathology teaching changes during the COVID-19 pandemic).

Abstract Background/purpose: Coronavirus disease 2019 (COVID-19) has influenced the dental education in Osaka Dental University. The purpose of this study was to summarize the impact of COVID-19 on student performance and the current more appropriate teaching methods by comparing the changes in various oral pathology exam results before and after COVID-19. Materials and methods: The experimental and control groups consisted of second year students in the department of dentistry at our university for the years 2019 (136 people) and 2020 (125 people). The impact of different teaching methods on student performance was compared by calculating the mean scores and percentage of failures on various exams and whether or not class credits were earned between the two years. A t test was used to determine statistical significance. Results: The mean scores on the mini-tests were lower in 2020 than in 2019, while the average score of the intermediate exam and the number of students receiving class credits were higher. The mean scores on the practical and unit exams were not statistically significant between the years, but the failure rate on both exams was higher in 2019 than in 2020. Conclusion: COVID-19 had impacts on student performance. A comparison of the mean scores on the exams revealed that the use of microscopy, oral questions, and online animations contributed to improved performance on different exams. Therefore, to promote students' understanding and retention of memorized knowledge of oral pathology, the use of microscopes will be resumed whenever possible, as well as continuation with oral questions and online animations.

Increasing access to pathology services in low- and middle-income countries through innovative use of telepathology.

INTRODUCTION: In low- and middle-income countries (LMICs), surgical care can be limited by access to pathology services. In Uganda, the pathologist-to-population ratio is less than 1 to 1 million people. The Kyabirwa Surgical Center in Jinja, Uganda, created a telepathology service in collaboration with an academic institution in New York City. This study demonstrated the feasibility and considerations of implementing a telepathology model to supplement the critical pathology needs of a low-income country. METHODS: This was a retrospective, single-center study of an ambulatory surgery center with pathology capability using virtual microscopy. The remote pathologist (also known as a telepathologist) controlled the microscope and reviewed histology images transmitted across the network in real time. In addition, this study collected demographics, clinical histories, the surgeon's preliminary diagnoses, and the pathology reports from the center's electronic medical record. RESULTS: Nikon's NIS Element Software was used as a dynamic, robotic microscopy model with a video conferencing platform for communication. An underground fiber optic cable established Internet connectivity. After a two-hour tutorial session, the lab technician and pathologist were able to proficiently use the software. The remote pathologist read (1) pathology slides with inconclusive reports from external pathology labs, and (2) tissues labeled by the surgeon as suspicious for malignancy, which belonged to patients who lacked financial means for pathology services. Between April 2021 and July 2022, tissue samples of 110 patients were examined by a telepathologist. The most common malignancies on histology were squamous cell carcinoma of the esophagus, ductal carcinoma of the breast, and colorectal adenocarcinoma. CONCLUSION: With the increasing availability of video conference platforms and network connections, telepathology is an emerging field that can be used by surgeons in LMICs to improve access to pathology services, confirming histological diagnosis of malignancies to ensure appropriate treatment.

Evaluating the use of virtual microscopy in cytology education.

INTRODUCTION: Whole slide imaging is a promising tool for cytology. In the present study, we assessed the performance of and user experience with virtual microscopy (VM) to determine its feasibility and usage in an educational setting. MATERIALS AND METHODS: From January 1 through August 31, 2022, 46 Papanicolaou slides, of which 22 (48%) were abnormal, 23 (50%) were negative, and 1 (2%) was unsatisfactory, were reviewed by the students using both VM and light microscopy (LM) platforms. In addition to assessing VM's overall performance, the SurePath imaged slides' accuracy was reviewed as a potential alternative to ThinPrep because of its cloud storage advantage. Finally, the students' weekly feedback logs were analyzed to gain insights for improving the digital screening experience. RESULTS: The overall diagnostic concordance difference was significant between the 2 screening platforms (Z = 5.38; P < 0.001), favoring LM (86% correct diagnosis) over VM (70% correct diagnosis). The overall sensitivity of VM and LM was 54.0% and 89.6%, respectively. VM also had an overall higher specificity (91.8%) compared with LM (81.3%). LM performed better than whole slide imaging for the correct identification of an organism when one was present, with 77.6% sensitivity compared with 58.9% for the digital platform. The rate of agreement for the SurePath imaged slides with the reference diagnosis was 74.3% compared with 65.7% for the ThinPrep slides. Finally, 4 themes were discerned from reviewing the user logs, with issues about image quality and the lack of fine focus functionality most frequently mentioned, followed by themes associated with a higher learning curve and novelty associated with the digital screening. CONCLUSIONS: Although the VM results were poorer than the LM results in our validation, its use in an educational setting is promising considering the continued technological improvements and the renewed focus on improving the digital user experience.

Virtual Versus Light Microscopy Usage among Students: A Systematic Review and Meta-Analytic Evidence in Medical Education.

BACKGROUND: The usage of whole-slide images has recently been gaining a foothold in medical education, training, and diagnosis. OBJECTIVES: The first objective of the current study was to compare academic performance on virtual microscopy (VM) and light microscopy (LM) for learning pathology, anatomy, and histology in medical and dental students during the COVID-19 period. The second objective was to gather insight into various applications and usage of such technology for medical education. MATERIALS AND METHODS: Using the keywords "virtual microscopy" or "light microscopy" or "digital microscopy" and "medical" and "dental" students, databases (PubMed, Embase, Scopus, Cochrane, CINAHL, and Google Scholar) were searched. Hand searching and snowballing were also employed for article searching. After extracting the relevant data based on inclusion and execution criteria, the qualitative data were used for the systematic review and quantitative data were used for meta-analysis. The Newcastle Ottawa Scale (NOS) scale was used to assess the quality of the included studies. Additionally, we registered our systematic review protocol in the prospective register of systematic reviews (PROSPERO) with registration number CRD42020205583. RESULTS: A total of 39 studies met the criteria to be included in the systematic review. Overall, results indicated a preference for this technology and better academic scores. Qualitative analyses reported improved academic scores, ease of use, and enhanced collaboration amongst students as the top advantages, whereas technical issues were a disadvantage. The performance comparison of virtual versus light microscopy meta-analysis included 19 studies. Most (10/39) studies were from medical universities in the USA. VM was mainly used for teaching pathology courses (25/39) at medical schools (30/39). Dental schools (10/39) have also reported using VM for teaching microscopy. The COVID-19 pandemic was responsible for the transition to VM use in 17/39 studies. The pooled effect size of 19 studies significantly demonstrated higher exam performance (SMD: 1.36 [95% CI: 0.75, 1.96], p < 0.001) among the students who used VM for their learning. Students in the VM group demonstrated significantly higher exam performance than LM in pathology (SMD: 0.85 [95% CI: 0.26, 1.44], p < 0.01) and histopathology (SMD: 1.25 [95% CI: 0.71, 1.78], p < 0.001). For histology (SMD: 1.67 [95% CI: -0.05, 3.40], p = 0.06), the result was insignificant. The overall analysis of 15 studies assessing exam performance showed significantly higher performance for both medical (SMD: 1.42 [95% CI: 0.59, 2.25], p < 0.001) and dental students (SMD: 0.58 [95% CI: 0.58, 0.79], p < 0.001). CONCLUSIONS: The results of qualitative and quantitative analyses show that VM technology and digitization of glass slides enhance the teaching and learning of microscopic aspects of disease. Additionally, the COVID-19 global health crisis has produced many challenges to overcome from a macroscopic to microscopic scale, for which modern virtual technology is the solution. Therefore, medical educators worldwide should incorporate newer teaching technologies in the curriculum for the success of the coming generation of health-care professionals.

The Michigan Histology website as an example of a free anatomical resource serving learners and educators worldwide.

With anatomical education becoming a global endeavor, free online resources offered via the Internet or other electronic venues are of increasing importance for teaching and learning communities worldwide. Students and instructors from developing countries, often limited in access to modern instructional resources by infrastructural and financial constraints, are frequent users of such online learning tools. During the recent Covid-19 pandemic when all academic institutions were forced to quickly switch to a non-contact mode of teaching, free online instructional resources were often essential for continuing the educational mission. However, there are a number of obstacles and issues that need to be considered when creating and offering such learning resources. These include the type, quality, and completeness of the content, their educational purpose, access to technical and financial resources, copyright and ethical issues, and more. Educators, who plan to generate and maintain free online resources, should also be aware that such projects usually require a considerable long-term time commitment. In this article, these issues are discussed using the Michigan Histology website as an example. The discussion also addresses how e-learning resources like the Michigan Histology website supported online learning during the recent Covid-19 pandemic.

Integration of virtual microscopy podcasts in the histology discipline in osteopathic medical school: Learning outcomes.

Virtual microscopy podcasts (VMPs) are narrative recordings of digital histology images. This study evaluated the outcomes of integrating the VMPs into teaching histology to osteopathic medical students. The hypothesis was that incorporating virtual microscopy podcasts as supplementary histology resources to the curriculum would have a positive impact on student performance and satisfaction. Sixty-one podcasts of dynamic microscopic images were created using screen recordings of the digital slides. The VMPs were integrated as supplementary histology resources in multiple courses during the first and second years of the medical curriculum for three classes, a total of 477 osteopathic medical students. A voluntary and anonymous survey was obtained from the students using a questionnaire that included two open-ended questions. The overall performance of the three classes on the histology content of the preclinical course examinations was compared to historical controls of the previous two classes that did not have access to the VMPs. Most students indicated that the podcasts enabled more efficient study time and improved their confidence in the histology content on examinations. The findings indicated a positive association between podcast viewing and efficient study time utilization and class performance. The class average scores of the three consecutive cohorts that used the VMPs progressively increased by 7.69%, 14.88%, and 14.91% compared to the controls. A summary of students' feedback and academic performance supported that integration of the VMPs into Histology teaching improved the learning experience. The findings align with previous studies on the effectiveness of multimedia-based teaching in histology laboratory modules.

Satisfaction of medical students in studying histology using virtual and light microscopy: A cross-sectional study

Background@#Medical education has changed as a result of the COVID-19 pandemic. There has been a shift from face to face learning to virtual classes using online learning platforms such as Canvas. These virtual and online alternative methods to medical education brought up concerns about the preparedness of medical students in studying Histology. This study addresses the student’s preference and attitude on the learning of histology using light microscopy vs virtual microscopy. @*Objectives@#The specific objectives of the study are to determine students’ preference, attitudes, and overall satisfaction on the use of light microscopy vs virtual microscopy using a Likert scale. @*Methods@#An enhancement program was conducted by the Department of Anatomy, UP College of Medicine from June 13 to June 17, 2022 among first year medical students. The students were exposed to prosected cadavers, models, specimens, histologic glass slides, and electronic images. During the activity, the second and third floor of Calderon Hall was divided into several stations, each with its own learning outcomes.This is a descriptive cross-sectional study. In all the learning stations, both virtual and light microscopy learning modalities were made available to the students. The student was at liberty to select virtual microscopy, light microscopy or both. In one of the stations, allocated to OS 205 (The study of the anatomy and histology of the thorax), students were randomized to one learning modality (light vs virtual microscopy) and made to identify one predetermined structure. Students answered a short questionnaire that allowed them to express their preference for the modality that was assigned. The questionnaire survey included questions on students’ preference for either light microscopy (LM) or virtual microscopy (VM), ease of use, and satisfaction. A total of five statements were included in the survey questionnaire. All questions in the survey were scored on a 5-point Likert scale (5: strongly disagree, 4: disagree, 3: neutral, 2: agree, and 1: strongly agree). A comments section was also included in the survey to explore students’ experiences of the two learning methods.@*Results@#A total of 160 students participated in the study. Seventy-nine (79) students were randomized to the light microscopy group and 81 one students were randomized to the virtual microscopy group. There were no differences in the demographic characteristics between those randomized to virtual vs light microscopy.There were no differences in the net ratings between those randomised to virtual vs light microscopy in the following domains: 1) ease in looking for structures, 2) ability to identify the structure correctly, 3) method enhancing learning, and 4) overall satisfaction. There was a difference in the net rating between those randomized to virtual vs light microscopy in the domain on quality of the image being easily adjusted (58% vs 97.5%).@*Conclusion@#Medical students who used light microscopes demonstrated a more positive attitude towards its ability to enhance learning and showed greater satisfaction in using this method. Ease in manipulating image quality was better in the light microscopy group. However, the accuracy of identification of histological structures using either platform did not differ. Both virtual and light microscopy are effective learning methods.

COVID-19 Adaptations with Virtual Microscopy.

This chapter aims to discuss and compare the different approaches used to teach histology to dental students before and during the COVID-19 pandemic and reflect on the best practices to be retained. Prior to the COVID-19 pandemic, the University of Glasgow School of Dentistry converted its large and unique collections of microscopy slides into digital files to curate this unique asset and protect it for prosperity. Initially, a virtual microscopy (VM) educational platform was purchased to allow digital teaching of histology, oral biology, and oral pathology. Prior to COVID-19, dental undergraduate students received VM teaching via a blended learning approach with theoretical content preceding a practical discussion session using VM. Some teachers in later years of the dental course experimented with flipped class strategies. At the beginning of 2020, with the lockdown restrictions imposed, the teaching content all had to move to remote online learning with virtual sessions, recorded video classes, online content, videotelephony, and online chat, allowing the students to undertake the content asynchronously and remotely. To overcome the interactive limitations of online delivery, a Microsoft Team was created in some sessions and used to support active small group learning and teaching of general histology allowing students to share histological annotations with their peers and tutors. The experience of teaching histology using only virtual and online content has had a positive academic outcome for the students as all first year students had passed their exams. However, we also recognise several limitations, such as the restrictive interpersonal interaction using videotelephony and online chat as well as the ad hoc feedback. The processes used and the challenges and benefits of VM will be discussed in this chapter.

Web-based pathology modules with virtual slides are effective for teaching introductory gastrointestinal pathology concepts.

Pathology interns face a steep learning curve as they transition from medical school to residency. Innovative teaching tools are needed to effectively and efficiently bridge this gap. We created four online learning modules geared toward pathology interns, for use at the beginning of the gastrointestinal pathology rotation at our institution. Our modules covered introductory esophageal, gastric, small bowel, and colonic pathology. Each module incorporated photomicrographs and annotated virtual slides, and included pre- and post-module assessment questions and a link to an anonymous survey. Twelve interns completed the modules between 9/20/2019 and 12/31/2021, including 80% of the 2020-2021 intern class. Significant improvement in performance was seen between the pre- and post-module questions for the stomach, small bowel, and colon modules (p < 0.05 for all), with a trend toward improved performance with the esophageal module. Interns rated the modules highly and indicated that they would recommend the modules to their peers. While the modules were geared toward interns, due to the coronavirus-19 pandemic we expanded access to the modules to include medical students. Medical students also found the learning modules valuable and requested more modules in the future. We conclude that online learning modules are an effective tool for teaching pathology interns and are well-received by this group. Online modules can also be seamlessly incorporated into asynchronous medical student teaching.