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opencc-by-4.0Aug 2021View details →

Fig. 3-4. Homestios janinecairae Warren and Bullard n. gen., n in Fish blood flukes (Digenea: Aporocotylidae) from Indonesia: Two new genera and species infecting the banded eagle ray, Aetomylaeus nichofii (Bloch and Schneider, 1801) Capape´and Desoutter, 1979 (Myliobatiformes: Myliobatidae) from Borneo

Fig. 3-4. Homestios janinecairae Warren and Bullard n. gen., n. sp. (Digenea: Aporocotylidae) from the heart of the banded eagle ray, Aetomylaeus nichofii (Bloch and Schneider, 1801) Capape´and Desoutter, 1979 (Myliobatiformes: Myliobatidae). (3) Body of holotype (USNM No. 1642774), dorsal view. Bar = 250 μm. (4) Genitalia of holotype (USNM No. 1642774), dorsal view. Bar = 100 μm. Mouth (mo), oesophagus (os), vitellarium (vit), intestine (in), testis (t), ovary (ov), vas deferens (vd), uterus, (u), ascending uterus (au), descending uterus (du), seminal vesicle (sv), cirrus (c), and common genital pore (cgp).

opencc-by-4.0Apr 2021View details →

Fig. 7. Stained microfilariae from amphibian blood. A – Neofoleyellides steyni n in Two new species of Neofoleyellides (Nematoda: Onchocercidae) parasitising anuran amphibians in South Africa

Fig. 7. Stained microfilariae from amphibian blood. A – Neofoleyellides steyni n. sp. from Amietia delalandii (Dum´eril et Bibron, 1841); B – Neofoleyellides martini n. sp. from Leptopelis natalensis (Smith, 1849).

Fig. 5 in Blood recovery of wild Mekong snail-eating turtles (Malayemys subtrijuga Schlegel and Müller, 1845) in captivity from leech infestation

Fig. 5. Morphological comparison of Malayemys subtrijuga no. 5 between week 0 (A and B) and week 17 (C and D).

Fig. 4 in Blood recovery of wild Mekong snail-eating turtles (Malayemys subtrijuga Schlegel and Müller, 1845) in captivity from leech infestation

Fig. 4. Symptoms of Placobdelloides siamensis infection on Malayemys subtrijuga: (A) Leech penetration beneath the keratin layer (scute) on plastron from no. 8; (B) Shell holes resulting from leech penetration on plastron from no. 7; (C) Epidermal lesion on the hind foot from no. 6; (D) Keratin mandible jaw with leech consumption from no. 4.

Fig. 3 in Blood recovery of wild Mekong snail-eating turtles (Malayemys subtrijuga Schlegel and Müller, 1845) in captivity from leech infestation

Fig. 3. Trend analysis of red blood cell count (RCC) (left) and white blood cell count (WCC) (right) of Malayemys subtrijuga during captivity recovery from 2 November 2018 (week 0) to 1 March 2019 (week 17). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

Fig. 1 in Blood recovery of wild Mekong snail-eating turtles (Malayemys subtrijuga Schlegel and Müller, 1845) in captivity from leech infestation

Fig. 1. Analysis of the mean red blood cell count (RCC) (blue line) and white blood cell count (WCC) (green line) of Malayemys subtrijuga during captivity recovery from 2 November 2018 (week 0) to 1 March 2019 (week 17). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

Fig. 2 in Blood recovery of wild Mekong snail-eating turtles (Malayemys subtrijuga Schlegel and Müller, 1845) in captivity from leech infestation

Fig. 2. Analysis of the mean weight of Malayemys subtrijuga during captivity recovery from 2 November 2018 (week 0) to 1 March 2019 (week 17).

Fig. 6 in Molecular analysis of blood-associated pathogens in European wildcats (Felis silvestris silvestris) from Germany

Fig. 6. Median Joining haplotype network of the 18 S rRNA sequences (561 nucleotide positions) of Hepatozoon felis (A, B) and pie chart of the 18 S rRNA gene (572 nucleotide positions) of Hepatozoon silvestris (C, D) showing the geographical distribution (A, C) and the reported hosts (B, D). Circles represent haplotypes; numbers within the circles represent the number of individuals, if no number is shown, then only one individual is represented; labels next to circles specify organism name and representative GenBank accession numbers of the haplotypes, white circles represent intermediate nodes; bars on branches interconnecting haplotypes represent the number of substitutions; and asterisks mark haplotypes containing the individuals obtained in the present study.

Fig. 5 in Molecular analysis of blood-associated pathogens in European wildcats (Felis silvestris silvestris) from Germany

Fig. 5. Median Joining haplotype network of the 16 S rRNA sequences (983 nucleotide positions) of Candidatus Mycoplasma haematominutum showing the geographical distribution (A) and the reported hosts (B). Circles represent haplotypes; numbers within the circles represent the number of individuals, if no number is shown, then only one individual is represented; labels next to circles specify representative GenBank accession numbers of the haplotypes, white circles represent intermediate nodes; bars on branches interconnecting haplotypes represent the number of substitutions; and asterisks mark haplotypes containing the individuals obtained in the present study.

Fig. 2 in Molecular analysis of blood-associated pathogens in European wildcats (Felis silvestris silvestris) from Germany

Fig. 2. Geographic origin of the 96 European wildcats (Felis silvestris) from Germany included in this study. The gray area represents the geographic distribution of wildcats in Germany according to the National FFH Report 2019, plotted on the 10 × 10 km reference grid ETRS89-LAEA5210 EEA according to a compilation of the German Federal Agency for Nature Conservation (BfN) and monitoring data of the federal states (Bundesamt für Naturschutz, 2020). Abbreviations: Brandenburg (BB), Bremen (B), Berlin (BR), Baden-Württemberg (BW), Bavaria (BY), Hamburg (H), Hesse (HE), Mecklenburg-West Pomerania (MWP), Lower Saxony (LS), North Rhine-Westphalia (NRW), Rhineland-Palatinate (RP), Schleswig-Holstein (SH), Saarland (S), Saxony (SN), Saxony-Anhalt (SA) and Thuringia (TH).

Fig. 1 in Molecular analysis of blood-associated pathogens in European wildcats (Felis silvestris silvestris) from Germany

Fig. 1. Distribution of wildcat samples in total number of wildcats (y-axis) collected per year (x-axis).

Fig. 4 in Molecular analysis of blood-associated pathogens in European wildcats (Felis silvestris silvestris) from Germany

Fig. 4. Co-infection scheme of detected pathogens, excluding M. ovis. Numbers represent counts of European wildcats (Felis silvestris) with respective pathogen (s) detected.

Fig. 3 in Molecular analysis of blood-associated pathogens in European wildcats (Felis silvestris silvestris) from Germany

Fig. 3. Geographical distribution of uninfected (white dots) and infected European wildcats (Felis silvestris) from Germany according to detected pathogens. A: red dots represent detection of Cytauxzoon europaeus; B: red dots represent detection of Hepatozoon silvestris, green dots represent detection of Hepatozoon felis; C: red dots represent detection of Bartonella spp.; D: red dots represent detection of Candidatus Mycoplasma haematominutum; green dots represent detection of Mycoplasma ovis; blue lines represent major rivers; and black lines represent borders of federal states. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Aug 2023View details →

Fig. 2 in Efficacy of a federally approved flea bait, orally administered to white-footed mice (Peromyscus leucopus), against blood feeding Ixodes scapularis larvae under simulated field conditions

Fig. 2. Representative images of Day 2 and Day 4 capsules observations. Nonengorging larvae attached to Treatment mouse at (A) Day 2 and (B) Day 4. Engorging larvae attached and actively feeding on Control mouse at (C) Day 2 and (D) Day 4. At Day 4, the majority of larvae fed to repletion and detached from the Control mice, while the majority died in situ on the Treatment mice. Green arrows indicate live larvae and red arrows indicate dead larvae. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Aug 2023View details →

Fig. 1 in Efficacy of a federally approved flea bait, orally administered to white-footed mice (Peromyscus leucopus), against blood feeding Ixodes scapularis larvae under simulated field conditions

Fig. 1. Capsule observations via microscopy. (A) Non-engorged (deceased) larvae, (B) engorging larvae, (C) fully engorged (replete) larvae nearing detachment.

Figure 1 in Blood cells and some hematological parameters of red drum (Linnaeus, 1766) in Vietnam

Figure 1. Erythrocytes of red drum. a - location L1, b - location L2, c - location L3. The red arrow indicates the deformed erythrocyte nuclear/uneven nuclear-matter distribution. The blue arrow indicates the slightly alkaline erythrocytes.

opencc-by-4.0Sep 2024View details →

Thin blood smear images of red blood cells with rouleaux formation morphology and normal morphology

This dataset contains images of thin blood smear with normal red blood cell morphology and rouleaux red blood cell morphology. Ethical approval with approval number: NHREC/17/03//2018 was obtained from Kano state ministry of health. Blood samples from 100 malaria infected patients were collected from Asiya Bayero pediatric hospital, kano state, Nigeria. Thick and thin blood smear slides were prepared using field stain. To ensure there was no bias in slide preparation, slides used for hospital diagnosis prepared under limited and constrained conditions were used as such types of slides represent the true reality of malaria diagnosis in less developed countries.Thin blood smear microscopy was performed by an expert microscopist and each slide was labeled according to the presence of Rouleaux formation or not among others. Out of 100 samples collected, 28 samples had rouleaux formation morphology. A 12MP iPhone 10 camera was attached to a microscope’s eyepiece. Pictures of different field of views for each slide were captured using the iPhone’s camera. For each slide, a minimum of 10 different field of views were captured. 616 images were captured for slides with rouleaux formation. To create a balanced dataset an equal number, 616 images were also captured for slides with normal morphology. To increase the size and variation of the dataset. 312 Digital images of thin blood smear slides with Giemsa staining collected from Murtala Muhammad specialist hospital were added. out of the 312 images, 156 had rouleaux RBC morphology and 156 had normal RBC morphology. Image capture was conducted in the morning, afternoon and evening and in different rooms with different lighting conditions to introduce diverse levels of illumination in the images The captured images from both hospitals had a size of 4032x3024 pixels. The background of the images were cropped to give a size 2500x2500 which were then sliced to give a final size of 750x750 pixels. The final data set consists of 12,356 thin blood smear images with rouleaux formation morphology and 12,356 thin blood smear images with normal red blood cell morphology. Different CNN architectures were trained for the binary classification of the dataset.

opencc-by-4.0Oct 2024View details →

Real-time monitoring of a 3D blood-brain barrier model maturation and integrity with a sensorized microfluidic device

A significant challenge in the treatment of central nervous system (CNS) disorders is represented by the presence of the blood-brain barrier (BBB), a highly selective membrane that regulates molecular transport and restricts the passage of pathogens and therapeutic compounds. Traditional in vivo models are constrained by high costs, lengthy experimental timelines, ethical concerns, and interspecies variations. In vitro models, particularly microfluidic BBB-on-a-chip devices, have been developed to address these limitations. These advanced models aim to more accurately replicate human BBB conditions by incorporating human cells and physiological flow dynamics. In this framework, here we developed an innovative microfluidic system that integrates thin-film electrodes for non-invasive, real-time monitoring of BBB integrity using electrochemical impedance spectroscopy (EIS). EIS measurements showed frequency-dependent impedance changes, indicating BBB integrity and distinguishing well-formed from non-mature barriers. The data from EIS monitoring was confirmed by permeability assays performed with a fluorescence tracer. The model incorporates human endothelial cells in a vessel-like arrangement to mimic the vascular component and three-dimensional cell distribution of human astrocytes and microglia to simulate the parenchymal compartment. By modeling the BBB-on-a-chip with an equivalent circuit, a more accurate trans-endothelial electrical resistance (TEER) value was extracted. The device demonstrated successful BBB formation and maturation, confirmed through live/dead assays, immunofluorescence and permeability assays. Computational fluid dynamics (CFD) simulations confirmed that the device mimics in vivo shear stress conditions. Drug crossing assessment was performed with two chemotherapy drugs: doxorubicin, with a known poor BBB penetration, and temozolomide, conversely specific drug for CNS disorders and able to cross the BBB, to validate the model predictive capability for drug crossing behavior. The proposed sensorized microfluidic device represents a significant advancement in BBB modeling, offering a versatile platform for CNS drug development, disease modeling, and personalized medicine.

opencc-zeroJan 2024View details →

Linked collectors and determiners for: Croton calcareus: a new species of dragon's blood (Euphorbiaceae) from dry forest in the state of Chiapas, Mexico.

Natural history specimen data linked to collectors and determiners held within, "Croton calcareus: a new species of dragon's blood (Euphorbiaceae) from dry forest in the state of Chiapas, Mexico". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/cd82a776-32fb-4b3e-83cd-0be940fa83f1">https://bionomia.net/dataset/cd82a776-32fb-4b3e-83cd-0be940fa83f1</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/cd82a776-32fb-4b3e-83cd-0be940fa83f1">https://gbif.org/dataset/cd82a776-32fb-4b3e-83cd-0be940fa83f1</a>. Formatted as a Frictionless Data package.