Glass Slides Research Articles

P‐190: Photo‐triggered Transmission‐color Through a Cholesteric Liquid Crystal for Multi‐level Information Encryption

In this research, the house‐made transparent cell with a cell gap of 10 μm was made using one glass slide that coated with commercial polyimide and the other one coated by SD1 photo‐responsive molecules, and filled with CLCs made from E7 nematic LCs and 1.0% S811 doping in the pitch of 10 μm. The LCs on SD1 molecules coated slide thereafter were in‐plane switched clock‐wisely by means of linear polarized blue laser (λ=405nm) irradiation, and thus elongate the pitch and tune reflection of CLCs. As the reflection of incident light has an extremely large wavelength (~14×103 nm) and is hard to be detected, the structure change induced optical performance in CLCs by in‐plane switch of near‐slide LCs was identified by a polarized optical microscopy (POM) under the transmission mode. The cell inserted with CLCs was saw in purple initially, when the near‐slide LCs were clock‐wisely switched by π/4, 5π/12, 7π/12, 2π/3 and 5π/6, respectively, the cell turned to indigo, green, yellow, orange and pink accordingly. Alternatively, the induced pink cells can be counter‐tuned to their initial purple by anti‐clockwise laser irradiation. This observation suggests that the switching of near‐slip LCs is sufficient for optically encoding in CLCs and could have significant applications in displays, especially in a data‐hidden mode.

A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine

BackgroundLeishmaniasis, an illness caused by protozoa, accounts for a substantial number of human fatalities globally, thereby emerging as one of the most fatal parasitic diseases. The conventional methods employed for detecting the Leishmania parasite through microscopy are not only time-consuming but also susceptible to errors. Therefore, the main objective of this study is to develop a model based on deep learning, a subfield of artificial intelligence, that could facilitate automated diagnosis of leishmaniasis.MethodsIn this research, we introduce LeishFuNet, a deep learning framework designed for detecting Leishmania parasites in microscopic images. To enhance the performance of our model through same-domain transfer learning, we initially train four distinct models: VGG19, ResNet50, MobileNetV2, and DenseNet 169 on a dataset related to another infectious disease, COVID-19. These trained models are then utilized as new pre-trained models and fine-tuned on a set of 292 self-collected high-resolution microscopic images, consisting of 138 positive cases and 154 negative cases. The final prediction is generated through the fusion of information analyzed by these pre-trained models. Grad-CAM, an explainable artificial intelligence technique, is implemented to demonstrate the model’s interpretability.ResultsThe final results of utilizing our model for detecting amastigotes in microscopic images are as follows: accuracy of 98.95 1.4%, specificity of 98 2.67%, sensitivity of 100%, precision of 97.91 2.77%, F1-score of 98.92 1.43%, and Area Under Receiver Operating Characteristic Curve of 99 1.33.ConclusionThe newly devised system is precise, swift, user-friendly, and economical, thus indicating the potential of deep learning as a substitute for the prevailing leishmanial diagnostic techniques.

A scalable, passive sampling method for the quantification of airborne allergens

Traditionally, airborne concentrations of aeroallergens are sampled in a single location by an active sampler, which requires electricity and regular maintenance. However, aeroallergen concentrations may vary widely over urban and rural environments, requiring a method that is cost-effective and scalable so that many measurements can be made across an air shed. We developed such a method that uses passive sampling and light microscopy for analysis. Inexpensive and easy to operate, passive samplers rely on the gravitational settling of particles onto microscope slides. This determines airborne pollen concentration through: 1) sample collection using a modified Durham sampler, 2) preparation of samples for microscopy and strategic sample imaging, and 3) simplified particle measurements and calculation of pollen concentration following deposition velocity models proposed by Scheppegrell [1] and Wagner and Leith [2]. This method was verified with two sampling campaigns during the ragweed season of 2020 and the tree pollen season of 2021. The concentrations determined with the passive and Burkard sampling methods were found to be well-correlated (r > 0.99, r = 0.87) and precise (%CV = 20 %, 21 %). The validation of passive samplers will enable measurements of aeroallergens over wider spatial scales and help determine where aeroallergen exposure risks are greatest.•An inexpensive and low-cost method was developed to determine airborne pollen counts.•The method was evaluated for its accuracy and reproducibility.•The method can be applied to examine the concentrations and spatial variability of airborne pollen.

Clinicopathological study on diameter of extranodal extension of cervical metastatic lymph nodes in the prognosis of oral cancer

ObjectivesTo investigate the relationship between the degree of destruction of the cervical lymph node capsule, extranodal invasion distance, and the prognosis of extranodal extension (ENE)-positive patients Study designWe retrospectively examined microscopic slides from neck dissection specimens of ENE-positive patients of our hospital. The ENE distance was measured by a pathologist who set up a virtual lymph node and measured the maximum extranodal invasion distance. The maximum distance was used for multiple ENEs. Forty patients with ENE were enrolled in this study. The Kaplan–Meier method was used to estimate survival. ResultsAmong the ENE-positive cases, the capsule was completely destroyed and partially destroyed in seven and 33 cases, respectively. Disease-specific survival (DSS) was 1251 days (range 156–3009 days). The median distance of extranodal invasion was 2500 µm (392–8500 µm) in the 33 ENE-positive cases in which the capsule was not completely destroyed. Receiver operating characteristic curve analysis of these 33 cases showed that the cutoff value of extranodal invasion distance for progression-free survival was 2241 µm. ConclusionsENE is a prognostic predictor of oral cancer; ENE was an independent prognostic factor; and ENE size cutoff of 2241 µm was a significant prognostic factor.

P‐131: Spherical Forming‐A Design and Production of Spherical Display from 2D Plane to 3D Surface

OLED flexible displays technology has been rapidly developing, but the main lamination process of it is still in 2D status. Due to wrinkles and other issues, currently there is not much experience in mass production for the 3D lamination. In this work, we mainly designed a spherical cover glass, and realized the lamination of it and flexible displays. We also proposed a solution for wrinkles during the lamination process.

Influence of collector type and the glass cover cooling on the performance of the solar distiller integrated with the solar collectors

Improving the efficiency of solar distillers is essential to increasing freshwater production. One method to enhance the output of the solar distiller is to connect it with another solar collector. Previous studies did not indicate a comparison of the performance of integrated solar stills with different types of solar collectors. The current article aims to study the performance of solar distillers connected to two different types of solar collectors, study the influencing operational variables, and compare these cases. A practical model was built that included four operational cases. The first case (M1) was a solar heater with a solar concentrator collector and a solar distiller connected in series. The second case (M2): A solar concentrator collector and solar distiller connected in series. The third case (M3): A solar heater and solar distiller connected in series. The fourth case (M4): It is the same as the M1 system, but the solar distiller contains a tube to cool the glass and compare the productivity with the classical solar distiller. The results showed that the M1 case is higher than the M3 and M2 cases. In contrast, the M4 case had the highest productivity in all the cases and systems that were discussed, which is estimated at 7583 ml/ day; this means that the M4 system is the best system studied, and this is due to the glass cooling mechanism. The highest productivity recorded for the M4 system was on 28 June, and the lowest productivity recorded was on 15 July. The highest hourly productivity was reached when the glass surface temperature (4 ˚C) was 1400 ml/h at 14:00.

41‐2: A Patterned Packaging Scheme of MiniLED Tiled Display with HighTransmittance and High Color Consistency in Light and Dark States

Tiled display has gradually become the development direction of super large screen display. A high transmittance greater than 80% and visual consistency with ΔE>0.5 in off state and Δu′v′>0.004 between multiple modules in display state MiniLED tiled display packaging scheme was proposed in this paper. The LED on the display substrate was wrapped by the barrier and diffusion particles. In addition, the glass cover plate with stable OD BM pattern is pasted above the display substrate to achieve consistency of blackness between multiple modules, with diamond black effect. This scheme is of great significance to the development of tiled display technology.

A Workshop on the Utilization of Light Microscope for Biology Education Pre-Service Students of FKIP ULM through the Use of Wet Mount Preparations

Microscopes in learning biology are very important as a tool for students in studying microscopic organisms and objects that cannot be seen by the eye directly. The results of the needs analysis show that biology education students in the Year of 2022 have never received training in the use and maintenance of microscopes and have never used a microscope with a magnification of 1000x. therefore, 98% of the survey results to participants indicate the need for training in the use of microscopes. The training on the use of light microscope was trained to make wet mount preparations of Rhoeo discolor leaf stomata and Hibiscus rosa-sinensis flower pollen. The microscopes used were monocular microscope and electric binocular microscope. The microscope magnifications used were 10x10; 10x40; and 10x100. The training results show that students are able to use all microscope magnifications and figures of the results of microscope observations well and clearly. The results of the microscope proficiency test were 21.06%, very good; 45.61% good/adequate grades; 24.56 adequate grades, but there were 8.7% still getting poor grades. The next service can be trained in making preparations with the whole mount preparation method, squash method for mitosis observation, slice preparation method without embedding and slice preparation method with paraffin method.

Pediatric Urinary Tract Infections at a Tertiary Care Center: Microbial Diversity and Antibiotic Resistance Patterns

Abstract Introduction: Urinary tract infection (UTI) remains a prevalent bacterial infection among the pediatric age group, ranking as the third-most common bacterial infection in children in developing countries, following gastrointestinal and respiratory tract infections. It continues to pose a significant health challenge. Materials and Methods: The urine samples underwent gross examination, wet mount, and Gram stain. Semiquantitative cultures were conducted on conventional media (MacConkey agar, blood agar, and CLED agar) and UTI chromogenic media. Uropathogen identification employed standard microbiological techniques. Antibiotic susceptibility was determined using the Kirby–Bauer disk diffusion method, with interpretation based on CLSI guidelines. Plates were incubated overnight, and clear zone diameters around antibiotic discs were measured for sensitivity or resistance determination. Results: The study comprised 64.75% male children and 35.25% female children. Analyzing the age distribution, the majority of participants fell within the age range of 1–5 years (35%), followed by those <1 year (33.75%), and the age group of 5–12 years, accounting for 31.25% of the total 400 participants. The findings from our investigation revealed a UTI prevalence of 17.25%, with Escherichia coli and Klebsiella emerging as the predominant uropathogens. Notably, these pathogens exhibited a significant susceptibility to carbapenems, nitrofurantoin, and amikacin. Conclusion: Our study identified a male predominance and various age distributions among UTI patients. Antibiotic susceptibility patterns revealed E. coli and Klebsiella pneumoniae’s high sensitivity to key antibiotics, whereas Enterococcus spp. exhibited significant high-level aminoglycoside resistance. This study underscores the importance of tailored antibiotic strategies based on local resistance profiles to combat UTIs effectively.

Shedding more light on shedders

We report on testing 100 individuals for their shedder status with the aim of demonstrating whether the process of cell staining is reproducible when testing a large number of people. A previous report using the same method was based on 11 donors and indicated that there may be a continuum of shedder types within this small sample set. In this report we also expand the time points post-handwashing to 0, 15, 30, 60, and 180 min. Triplicate samples were collected from both the right and left thumbs. Samples were collected by donors placing a thumb on a clean glass slide and then adding a DNA binding dye. The number of cells were recorded within three separate square millimetre areas (cells/mm2) at 220x magnification. The experiments were conducted in triplicate on three different days, giving a total of 72 thumbprints per individual. Finally, there were 3438 observed frames in the entire dataset. Of the 100 donors, 98 gave consistent and reproducible cell number deposition. There was no difference between the cells deposited by the left and right thumbs in 13 of 15 tested. Males tended to deposit more cells than females. If applying arbitrary boundary to a cell count to definitively determine shedder status, then many of the donors fell within two categories. This study based on 100 individuals strongly suggests that shedder status is a continuum phenomenon.

Detection of milk adulteration using coffee ring effect and convolutional neural network

A low-cost and effective method is reported to identify water and synthetic milk adulteration of cow’s milk using coffee ring patterns. The cow’s milk samples were diluted with tap water (TW), distilled water (DW) and mineral water (MW) and drop cast onto glass slides to observe coffee ring patterns. The area of the ring, total particle area and average particle diameter were extracted from these patterns. For each ring, the ratio of total particle area versus total ring area was calculated. The area ratio, regardless of water adulterants, follows an exponential model with respect to average particle diameter. Unlike TW, the ratio for DW and MW adulterated milk are clustered and classified together with respect to the particle diameter. These results were independent of dilution level and are used for adulterant classification. The ring of milk adulterated using synthetic milk gave multiple concentric rings, flower-like structures, and oil globules throughout the dilution level. An Alexnet model was used to classify water and synthetic milk adulterants in authentic milk. The trained model could achieve 96.7% and 95.8% accuracy for binary and tertiary classification respectively. These results enable us to distinguish synthetic milk from pure milk and segregate DW and MW with respect to TW adulterated milk.

Experimental and numerical analyses of water droplet condensation on photovoltaic surfaces under clean and dusty conditions

Several studies have investigated the condensation effect on dust agglomerate located on PV surfaces. The phenomena of dust condensation remain minimally addressed by researchers and not understanding well in the field of PV systems. Using rigorous experimentation, this research study explored the accumulation of dust on photovoltaic units. Furthermore, we thoroughly examined the effect of condensation on the glass surface of the unit. The formation of condensed droplets and their consequences were examined through meticulous experiments and mechanical analyses. The experiment was made possible by an ingeniously designed experimental platform, which enabled monitoring the influences of condensation on dust aggregation. The condensation process was carefully observed and analysed using microscopic techniques, while its direct impact on the dust accumulated on the PV module's surface was also examined. The experimental and numerical investigations of droplets condensation, condensing water droplets speed, condensation film thickness, and mud formation layer on the glass cover of PV module were highlighted. The droplets condensation on a glass plane (similar surface to covering glass for PV module) was recorded at different air conditions. The values of air velocity were chosen 0, 2.4, 4.1, 6.3 m/s, to provide a constant air temperature and humidity of the inflow air, the channel was supplied with heating control system. Furthermore, two dust seeding quantities 150 and 300 g were tested to provide a range for different cases for thickness of dust layers with different air velocities. According to the study, condensate time directly correlates with drop equivalent diameter, demonstrating that drop diameter increases proportionally to condensation time. It is indicated that the droplet formation and condensation period accelerated with increasing dust seeding quantity. It is noteworthy that the period of droplet formation and condensation accelerates with the increase in the amount of dust seeding. The results showed that by increasing the air speed from 2.4 m/s to 6.3 m/s, the weight of accumulated dust was decreased from 0.166 g to 0.151 g. Also, the average mud layer thickness was reduced from 27.6 μm to 25.1 μm.

Applied Artificial Intelligence and Prospect of Internet of Everything (IoE) for the Detection of Tuberculosis

ABSTRACT Mycobacterium tuberculosis is a bacterium that causes disease known as Tuberculosis. Tuberculosis is highly contagious and can result in high mortality rate if left untreated. In order to screen individuals suspected of the disease, medical expert relies on several conventional approaches which are hindered by several limitations which include time consuming, high workload, false positive results, etc. This calls for the need to develop smart and automatic approaches that can address these challenges. Majority of existing studies reported the use of 1 or 2 pretrained models and the use of SoftMax as the classifier. Moreover, majority of the studies trained models using a single type of dataset which are mostly curated from public accessible domains. Thus, this study addressed these challenges by: (1) The use of several pretrained models (2) The use of 2 classifiers which include SVM and KNN and (3) Training and validating pretrained models fused with classifiers on microscopic slide and chest X-ray images. The result achieved in this study highlights the prospect of computer-assisted techniques in triaging and screening of TB. The integration of Internet of Everything (IoE) in medical diagnosis has the potential to increase healthcare outcome, boost productivity, and reduce workload.

Functional and financial analysis of an inclined step solar desalination using phase change nanomaterials.

Recent decades have seen a shortage of water, which has led scientists to concentrate on solar desalination technologies. The present study examines the solar water desalination system with inclined steps, while considering various phase change materials (PCMs). The findings suggest that the incorporation of PCM generally enhances the productivity of the solar desalination system. Additionally, the combination of nanoparticles has been used to PCM, which is a popular technique utilized nowadays to improve the efficiency of these systems. The current investigation involves the transient modeling of a solar water desalination system, utilizing energy conservation equations. The equations were solved using the Runge-Kutta technique of the ODE23s order. The temperatures of the salt water, the absorbent plate of the glass cover, and the PCM were calculated at each time. Without a phase changer, the rate at which fresh water is produced is around 5.15 kg/m2·h. The corresponding mass flow rates of paraffin, n-PCM I, n-PCM III, n-PCM II, and stearic acid are 22.9, 28.9, 5.9, 11.9, and 73 kg/m2·h. PCMs, with the exception of stearic acid, exhibit similar energy efficiency up to an ambient temperature of around 29°. However, at temperatures over 29°, n-PCM II outperforms other PCM.

Second trimester vaginal Candida colonization among pregnant women attending antenatal care in Bukavu, Democratic Republic of the Congo: prevalence, clinical correlates, risk factors and pregnancy outcomes

IntroductionVaginal Candida colonization (CC) can lead to vulvovaginal candidiasis, the second most prevalent vaginal condition worldwide, and has been associated with adverse birth outcomes. However, no data on CC in the Democratic Republic of the Congo are available. We investigated the prevalence, Candida species, clinical correlates, risk factors and pregnancy outcomes in women with CC in the second trimester of pregnancy.Material and methodsIn Bukavu, the Democratic Republic of the Congo, pregnant women were recruited during antenatal care between 16 and 20 weeks of gestation from January 2017 to October 2017 and followed until delivery. Sociodemographics, sexual behavioral, hygienic and clinical characteristics, microbiological data and pregnancy outcomes were collected. Candida detection and speciation was performed with microscopy (Gram-stained smears and wet-mount) and/or quantitative PCR. Multivariate regression models were used to estimate the different associations with CC.ResultsThe prevalence of CC by wet mount, microscopy of Gram-stain smears and qPCR was 27.9%, 28.1% and 38.2%, respectively. C. albicans was the most prevalent Candida species (91.0%). Previous genital infections, an intermediate vaginal microbiota, bacterial vaginosis, and the use of pit toilets were risk factors for CC. Clinically, CC was associated with itching only. Women with CC had twice the odds for preterm birth, if Candida concentration was high, the odds were four times higher.ConclusionsIn Bukavu, the Democratic Republic of the Congo, the prevalence of CC was high and associated with microbiological and modifiable risk factors. Screening and treatment for CC during antenatal care should be investigated as a possible strategy to reduce preterm birth.

Photovoltaic Energy Production in Greenhouses With Spectral Splitting Solar Trackers

The spectral filtering low concentration photovoltaic system developed by Voltiris is an innovative solution for energy production in greenhouses without affecting food production. A first prototype was installed in the greenhouse of the agricultural research center Agroscope in Conthey, Switzerland. During an eight-month agronomic study from March to October, the yield of tomato, pepper bell and basil under this system was on a par with a control group. I-V curves were recorded to evaluate the photovoltaic system performance, and the impact of concentration and filtering. The curves showed that the prototype achieved a direct normal irradiation efficiency of 10.1 %. The specific power output of the Voltiris system inside the greenhouse was comparable to the one of a conventional solar panel placed outside. Filters with two different transmission spectra were used, both of which were matched to the absorption spectra of chlorophyll and reflected 50 % and 60 % of the incident global radiation respectively. To transfer the performance of the system to other greenhouses, the transmittance of the test greenhouse and its glass cover were measured for global and diffuse radiation. This allowed to determine the transmittance of the greenhouse specific metal structure. In the test greenhouse, the overall transmission coefficient for direct solar radiation was 0.28, hence limiting the system yield.

Maternal COVID-19 exposure and placental characteristics.

The impact of COVID-19 on the placenta is poorly described, particularly among minority women. This is a retrospective case-control study. Micro- and macroscopic placental pathologic findings were compared for 15 COVID-19 positive and 36 negative mothers. Cases and controls were frequency matched on gestational age, race, maternal comorbidities, and delivery type. Data from the electronic medical record were supplemented with independent review of microscopic slides. Placentas from cases and controls were similar except the median distance from the site of the cord insertion to the nearest disk margin was statistically significantly shorter among placentas from COVID-19 positive cases (3.5 versus 6.0 cm, p = 0.006). Case status was not associated with an increased risk of placental pathologies. There are few pathologic differences between placentas of COVID-19 positive and negative mothers. Additional studies are needed to investigate the role of timing of infection.

A proposed hybrid model of ANN and KNN for solar cell defects detection and temperature prediction using fuzzy image segmentation

This paper presents a novel hybrid model employing Artificial Neural Networks (ANN) and Mathematical Morphology (MM) for the effective detection of defects in solar cells. Focusing on issues such as broken corners and black edges caused by environmental factors like broken glass cover, dust, and temperature variations. This study utilizes a hybrid model of ANN and K-Nearest Neighbor (KNN) for temperature prediction. This hybrid approach leverages the strengths of both models, potentially opening up new avenues for improved accuracy in temperature forecasting, which is critical for solar energy applications. The significance lies in the interconnectedness of temperature fluctuations and solar cell efficiency, leading to defects. The proposed model aims to predict temperatures accurately, providing insights into potential solar cell efficiency problems. Subsequently, this work studies the transitions to defect detection using Fuzzy C-Means (FCM) clustering and MM techniques. The hybrid model demonstrates accurate temperature prediction with Mean Absolute Percentage Error (MAPE) values of 0.92 %, 0.72 %, and 1.3 % for average, maximum, and minimum temperatures, respectively. The defect detection process yields a detection accuracy (CR) of 96 % and sensitivity of detection (SD) of 89 %. This work is validated compared to the literature work done and by using K-fold cross validation technique. The proposed work emphasizes the improvement in defect detection accuracy and the overall quality enhancement of solar cells.

Photocatalytic Deposition of Au Nanoparticles on Ti3C2Tx MXene Substrates for Surface-Enhanced Raman Scattering.

Surface-enhanced Raman scattering (SERS) is a promising technique for sensitive detection. The design and optimization of plasma-enhanced structures for SERS applications is an interesting challenge. In this study, we found that the SERS activity of MXene (Ti3C2Tx) can be improved by adding Au nanoparticles (NPs) in a simple photoreduction process. Fluoride-salt-etched MXene was deposited by drop-casting on a glass slide, and Au NPs were formed by the photocatalytic growth of gold(III) chloride trihydrate solutions under ultraviolet (UV) irradiation. The Au-MXene substrate formed by Au NPs anchored on the Ti3C2Tx sheet produced significant SERS through the synergistic effect of chemical and electromagnetic mechanisms. The structure and size of the Au-decorated MXene depended on the reaction time. When the MXene films were irradiated with a large number of UV photons, the size of the Au NPs increased. Hot spots were formed in the nanoscale gaps between the Au NPs, and the abundant surface functional groups of the MXene effectively adsorbed and interacted with the probe molecules. Simultaneously, as a SERS substrate, the proposed Au-MXene composite exhibited a wider linear range of 10-4-10-9 mol/L for detecting carbendazim. In addition, the enhancement factor of the optimized SERS substrate Au-MXene was 1.39 × 106, and its relative standard deviation was less than 13%. This study provides a new concept for extending experimental strategies to further improve the performance of SERS.

Prevalence of Intestinal Parasitic Infections and Associated Factors among Presumptive Pulmonary Tuberculosis Patients at Debre Tabor Referral Hospital, South Gondar, Northwest Ethiopia: A Cross-Sectional Study.

In developing countries, intestinal parasitic infections (IPIs) and tuberculosis (TB) coinfections have been perceived to be high. The geographic distributions of helminths and TB overlap substantially. Parasitic infections affect the outcome of TB by changing the cell-mediated immune response to a humoral response, while Mycobacterium infection favors the immune escape of helminths. There are limited studies on the epidemiology of intestinal parasites among presumptive pulmonary TB (PTB) patients in Ethiopia. Therefore, this study is aimed at determining the prevalence of intestinal parasitic infections and associated factors among patients with presumptive pulmonary tuberculosis at Debre Tabor Referral Hospital. A hospital-based cross-sectional study was conducted from March to June 2021. The sociodemographic data and associated factors were collected using a structured questionnaire, and stool samples were collected by convenient sampling technique and processed for the detection of intestinal parasites using a direct wet mount saline preparation and formal ether concentration technique. The data was coded, cleaned, and analyzed by SPSS version 23. Bivariate and multivariable analyses were conducted to determine an adjusted odds ratio (AOR). p value < 0.05 was considered statistically significant. The overall prevalence of intestinal parasitosis was 25.6% (81/316); of these, 12.9% (41/316) were protozoan infections and 12.7% (40/316) were helminth infections. Multivariable logistic regression analysis showed that being older than 36 years (AOR: 4.35; 95% CI: 1.26, 13.91; p = 0.001), rural residence (AOR: 3.46; 95% CI: 1.18, 9.97; p < 0.001), unable to read and write (AOR = 2.62; 95%CI = 2.15, 8.43; p = 0.004), and use of river water (AOR: 3.47; 95% CI: 1.62, 8.21; p < 0.001) were associated with intestinal parasitic infections. The present study showed that the prevalence of intestinal parasitosis among presumptive pulmonary tuberculosis patients was high in the study area. Age, residence, educational status, and source of water were significant factors in IPIs among presumptive TB patients. Moreover, our findings suggest a proper health education program for good personal hygiene habits, the coloration of water, avoiding open-field defecation, and also preventative measures to avoid the acquisition of IPIs in patients with TB. Presumptive tuberculosis patients should be screened and treated accordingly. Additionally, it needs further research and recommends more assessment for intestinal parasitic infection in PTB patients.