Recognition of airborne fungi spores in digital microscopic images

2004 ◽  
Author(s):  
P. Perner ◽  
H. Perner ◽  
S. Janichen ◽  
A. Buhring
Keyword(s):  
Airborne Fungi ◽  
Microscopic Images

31. Indoor and Outdoor Concentration Levels of Airborne Fungi in Cincinnati Area Homes: Pilot Study

2005 ◽  
Author(s):  
T. Lee ◽  
D. Martuzevicius ◽  
C. Crawford ◽  
A. Adhikari ◽  
T. Reponen ◽  
...  
Keyword(s):  
Pilot Study ◽  
Airborne Fungi ◽  
Outdoor Concentration ◽  
Concentration Levels ◽  
Indoor And Outdoor

The study of needle type influence on woven fabric surface area during the sewing process

2021 ◽  
pp. 004051752110191
Author(s):  
Beti Rogina-Car ◽  
Stana Kovačević
Keyword(s):  
Computer Program ◽  
Tensile Properties ◽  
Surface Area ◽  
Cotton Fabrics ◽  
Woven Fabric ◽  
Microscopic Images ◽  
Needle Type ◽  
Fabric Surface ◽  
Needle Point

The aim of this study was to investigate the damage to cotton fabrics (ticking and damask) caused by stitching with three types of needle point shapes (R, SES and SUK) and four needle sizes (70, 80, 90 and 100 Nm). Damage to the yarn and the surface area of the hole were investigated. Based on the results, it can be concluded that two types of damage occur during sewing: the needle passes through the warp/weft (it displaces the yarn) and the needle damages the warp/weft. An analysis and comparison of the surface area of the holes was carried out, obtained by a computer program based on microscopic images. The results show greater damage to the yarn at the needle piercing point in the ticking due to higher density, friction and low yarn migration. The largest surface area of the holes was produced when sewing with SUK-designated needles on ticking and damask. When sewing damask, R-designated needles cause the least damage to the piercing point, whereas SES-designated needles give the best results when sewing the ticking. Thread damage was further confirmed by testing the tensile properties of the yarn at the needle piercing points.

A robust technique based on invariant moments – ANFIS for recognition of human parasite eggs in microscopic images

2008 ◽  
Vol 35 (3) ◽  
pp. 728-738 ◽  
Author(s):  
Esin Dogantekin ◽  
Mustafa Yilmaz ◽  
Akif Dogantekin ◽  
Engin Avci ◽  
Abdulkadir Sengur
Keyword(s):  
Microscopic Images ◽  
Invariant Moments ◽  
Human Parasite

scholarly journals Airborne Fungi in Show Caves from Southern Spain

2021 ◽  
Vol 11 (11) ◽  
pp. 5027
Author(s):  
Irene Dominguez-Moñino ◽  
Valme Jurado ◽  
Miguel Angel Rogerio-Candelera ◽  
Bernardo Hermosin ◽  
Cesareo Saiz-Jimenez
Keyword(s):  
Entomopathogenic Fungi ◽  
Airborne Fungi ◽  
Southern Spain ◽  
Ecological Indicator ◽  
Outdoor Air ◽  
Northern Spain ◽  
Pochonia Chlamydosporia ◽  
The North ◽  
Show Caves ◽  
Characteristic Features

The aerobiology of caves in Southern Spain possesses special characteristics, different from caves located in Northern Spain. Previous studies demonstrated the influence of outdoor air on caves in the north and the existence of two different patterns, depending on the season. In summer there is an abundance of Ascomycota, whereas in winter Basidiomycota predominates, which are related to the periods of stagnation and ventilation, respectively. In caves in Southern Spain the presence of airborne Basidiomycota is scarce and Ascomycota represents the main group of fungi widely distributed across the caves in all seasons. The most characteristic features were the abundant presence of entomopathogenic fungi (Beauveria bassiana, Parengyodontium album, Pochonia chlamydosporia, Leptobacillium symbioticum, Leptobacillium leptobactrum) and Cladosporium cladosporioides in Cueva del Tesoro, Cueva de Ardales and Gruta de las Maravillas. However, the presence of yeasts of the genera Cutaneotrichosporon, Trichosporon, Cryptococcus, Naganishia, Cystobasidium, Microstroma and Phragmotaenium was exclusive to Gruta de las Maravillas. Fungal hazard in the three show caves were determined using an ecological indicator based on the concentration of spores in cave air.

scholarly journals First Speleomycological Study on the Occurrence of Psychrophilic and Psychrotolerant Aeromycota in the Brestovská Cave (Western Tatras Mts., Slovakia) and First Reports for Some Species at Underground Sites

Biology ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 497
Author(s):  
Rafał Ogórek ◽  
Mateusz Speruda ◽  
Justyna Borzęcka ◽  
Agata Piecuch ◽  
Magdalena Cal
Keyword(s):  
Global Warming ◽  
Immune System ◽  
Biological Material ◽  
Fungal Spores ◽  
Airborne Fungi ◽  
Fungal Species ◽  
Air Samples ◽  
Cold Adapted ◽  
First Report

Most underground ecosystems are heterotrophic, fungi in these objects are dispersed in the air in the form of spores, and they may be potentially hazardous to mammals. Research in underground sites has focused on mesophilic airborne fungi and only a few concerned cold-adapted species. Therefore, the goal of our research was the first report of psychrophilic and psychrotolerant aeromycota in the Brestovská Cave using culture-based techniques with genetic and phenotypic identification. Plates with PDA medium containing sampled biological material were incubated at 8 ± 0.5 °C. The density of mycobiota inside the cave ranged from 37.4 to 71 CFU 1 m−3 of air and 63.3 CFU 1 m−3 of air outside the cave. Thus, the level of fungal spores did not exceed the standards for the mycological quality of the air. A total of 18 species were isolated during the study, and some species may be potentially dangerous to people with weakened immune system. All fungal species were present inside the cave and only seven of them were outside. Cladosporium cladosporioides dominated in the external air samples and Mortierella parvispora was cultured most frequently from internal air samples. To our knowledge, this is the first discovery of the fungal species such as Coniothyrium pyrinum, Cystobasidium laryngis, Filobasidium wieringae, Leucosporidium drummii, M. parvispora, Mrakia blollopis, Nakazawaea holstii, and Vishniacozyma victoriae in the air inside the underground sites. Moreover, C. pyrinum, C. laryngis, L. drummii, M. blollopis, and N. holstii have never been detected in any component of the underground ecosystems. There are possible reasons explaining the detection of those species, but global warming is the most likely.

scholarly journals Diversity, Concentration and Dynamics of Culturable Fungal Bioaerosols at Doha, Qatar

2020 ◽  
Vol 18 (1) ◽  
pp. 182
Author(s):  
Raghdaa K. Fayad ◽  
Roda F. Al-Thani ◽  
Fatima A. Al-Naemi ◽  
Mohammed H. Abu-Dieyeh
Keyword(s):  
Species Richness ◽  
Fungal Spores ◽  
Gravimetric Method ◽  
Fungal Spore ◽  
Industrial Area ◽  
Airborne Fungi ◽  
Culture Collection ◽  
Colony Count ◽  
Study Sites ◽  
Future Work

This research was conducted to investigate the dynamics of airborne fungi using viable culture collection and in respect to different abiotic variables, including seasonal and intra-diurnal variations. A gravimetric method was used to sample airborne fungal deposition on potato dextrose agar plates on alternate days, for a year between April 2015 to March 2016. From 176 settle plate exposures, a total of 1197 mould and 283 yeast colony-forming units (CFU), 21 genera and 62 species were retrieved. The highest fungal spore count was recorded in February 2016, whereas the lowest count occurred in August 2015. The main constituents of the fungal airspora were attributed to Cladosporium (60.2%), Aspergillus (10.4%), Fusarium (9.4%), Alternaria (8.5%), and Ganoderma spp. (2.3%). Temperature was negatively correlated with total colony count (r = −0.231, p ≤ 0.05) or species richness (r = −0.267, p ≤ 0.001), while wind speed was positively correlated with total colony count (r = 0.484, p ≤ 0.001) or species richness (r = 0.257, p ≤ −0.001). The highest dispersal of fungal spores was obtained at 18:00, whereas the lowest fungal spores release was recorded at 00:00 (midnight). There were no significant differences in species composition and richness of the airborne fungal population between two study sites, the Industrial area and Qatar University Campus. The count of Alternaria spp. and Fusarium spp. were significantly higher at the Industrial area site, which corresponds to a higher CO2 level than the Qatar University site. This study lays the foundation for future work to assess the implications of such aeromycological data on public health.

Skin Melanoma Detection in Microscopic Images Using HMM-Based Asymmetric Analysis and Expectation Maximization

2021 ◽  
pp. 1-1
Author(s):  
Rozita Rastghalam ◽  
Habibollah Danyali ◽  
Mohammad Sadegh Helfroush ◽  
M. Emre Celebi ◽  
Mojgan Mokhtari
Keyword(s):  
Expectation Maximization ◽  
Skin Melanoma ◽  
Microscopic Images ◽  
Melanoma Detection

scholarly journals Deep learning approach to describe and classify fungi microscopic images

PLoS ONE ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. e0234806 ◽  
Author(s):  
Bartosz Zieliński ◽  
Agnieszka Sroka-Oleksiak ◽  
Dawid Rymarczyk ◽  
Adam Piekarczyk ◽  
Monika Brzychczy-Włoch
Keyword(s):  
Deep Learning ◽  
Learning Approach ◽  
Microscopic Images

scholarly journals Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Fetulhak Abdurahman ◽  
Kinde Anlay Fante ◽  
Mohammed Aliy
Keyword(s):  
Object Detection ◽  
Malaria Parasite ◽  
Blood Smear ◽  
Clustering Algorithm ◽  
State Of The Art ◽  
Detection Accuracy ◽  
Small Object ◽  
Thick Blood Smear ◽  
Malaria Parasites ◽  
Microscopic Images

Abstract Background Manual microscopic examination of Leishman/Giemsa stained thin and thick blood smear is still the “gold standard” for malaria diagnosis. One of the drawbacks of this method is that its accuracy, consistency, and diagnosis speed depend on microscopists’ diagnostic and technical skills. It is difficult to get highly skilled microscopists in remote areas of developing countries. To alleviate this problem, in this paper, we propose to investigate state-of-the-art one-stage and two-stage object detection algorithms for automated malaria parasite screening from microscopic image of thick blood slides. Results YOLOV3 and YOLOV4 models, which are state-of-the-art object detectors in accuracy and speed, are not optimized for detecting small objects such as malaria parasites in microscopic images. We modify these models by increasing feature scale and adding more detection layers to enhance their capability of detecting small objects without notably decreasing detection speed. We propose one modified YOLOV4 model, called YOLOV4-MOD and two modified models of YOLOV3, which are called YOLOV3-MOD1 and YOLOV3-MOD2. Besides, new anchor box sizes are generated using K-means clustering algorithm to exploit the potential of these models in small object detection. The performance of the modified YOLOV3 and YOLOV4 models were evaluated on a publicly available malaria dataset. These models have achieved state-of-the-art accuracy by exceeding performance of their original versions, Faster R-CNN, and SSD in terms of mean average precision (mAP), recall, precision, F1 score, and average IOU. YOLOV4-MOD has achieved the best detection accuracy among all the other models with a mAP of 96.32%. YOLOV3-MOD2 and YOLOV3-MOD1 have achieved mAP of 96.14% and 95.46%, respectively. Conclusions The experimental results of this study demonstrate that performance of modified YOLOV3 and YOLOV4 models are highly promising for detecting malaria parasites from images captured by a smartphone camera over the microscope eyepiece. The proposed system is suitable for deployment in low-resource setting areas.

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