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41 protocols using cell a software

1

Tibial Growth Plate Histomorphometry

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Stained transverse sections of tibiae were viewed using a light microscopy eclipse E400 Nikon with ×10, ×20, or ×40 objectives, using light filters. Images were captured by a high-resolution camera (Olympus DP 71) controlled by Cell A software (Olympus). Longitudinal median sections from the proximal tibia growth plate were subjected to histological staining and measurements. The thickness of the total GPs, proliferative zone (PZ) and hypertrophic zone (HA) as well as the number of cells were measured using a Cell A software (Olympus) with a measuring tool feature. Measurements were performed on these sections from 5 different animals from each group. In each slide, 10 random locations throughout the GPs were selected and measured [18 (link),19 (link)].
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2

Histological Analysis of Tibial Growth Plates

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Tibial growth plates (GPs) were fixed overnight in 4% paraformaldehyde (Sigma, United States) followed by 2 weeks of decalcification in 0.5 M EDTA pH 7.4. The samples were then dehydrated and transferred into histoclear (Bar-Naor) and subsequently, embedded in paraffin. Transverse tissue sections of 5 μm were prepared with Leica microtome (Agentec, Israel). For H&E histological staining, sections were deparaffinized and rehydrated (44 (link)), and stained in hematoxylin solution followed by eosin The sections for all histological analyses were dried and mounted with DPX mounting for histology. The thickness of total GP was measured using the Cell A software (Olympus) with a measuring tool feature at 10 selected locations throughout the GP in 4 different samples at each group. For imaging, the stained sections were viewed by the light microscopy Eclipse E400 Nikon. Images were captured by a high-resolution camera (DP71 Olympus), controlled by Cell A software (Olympus) (45 (link)).
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3

Histochemical Analysis of GUS Activity in Transgenic Plants

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Histochemical staining for GUS activity was performed on transgenic plants, using 5-bromo-4-chloro-3-indolyl-β-D-glucuronic acid (X-GlcA) as a substrate. Tissues were stained for 8h at 37 °C in X-GlcA reaction buffer (50 mM sodium phosphate buffer, pH 7.2, 0.5 mM potassium ferrocyanide, 0.5 mM potassium ferricyanide, and 2 mM X-GlcA), dehydrated by a series of ethanol washes, and kept in 3.7% (w/v) formaldehyde, 50% (w/v) ethanol, and 5% (w/v) acetic acid at 4 °C. Before being subjected to microscopy, tissues were treated with the clearing agent chloral hydrate (2.5 g chloral hydrate dissolved in 1 mL 60% glycerol). All samples were observed and photographed using the Zeiss Stemi 2000C stereomicroscope, equipped with the Jonoptic ProGres3 digital camera (Jenoptic GRYPHAX 2.2 software, Jena, Germany) or the differential interference contrast microscope Olympus BX50, equipped with an Olympus DP71 camera using Cell^A software (Olympus Soft Imaging Solutions, Münster, Germany). Images were processed and analyzed using Adobe Photoshop CC software (Adobe Systems Inc., CA, USA).
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4

Cardiomyocyte Morphometric Analysis

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Paraffin-embedded sections were placed on adhesive slides and stained with hematoxylin and eosin. Cardiomyocyte cross-sectional areas were calculated under a microscope using the Cell^A software (Olympus Soft Imaging Solutions GmbH, Germany).
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5

Histological Assessment of Myocardial Fibrosis

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After the blood sample collection, all rats were sacrificed by bleeding and the hearts were explanted. Pieces of the LV myocardial tissue were fixed in buffered paraformaldehyde solution (4%) and embedded in paraffin. Then, 5-μm thick sections were stained with hematoxylin and eosin. Cardiomyocyte cross-sectional areas were calculated on a microscope using the Cell^A software (Olympus Soft Imaging Solutions GmbH, Germany). An acid fuchsin orange G (AFOG)-stain was used to determine the extent of myocardial fibrosis. Four sections per heart were inspected under light microscopy and rated according to the following scoring system: grade 0 indicates normal tissue showing no fibrotic region; grade 1 indicates mild fibrosis; grade 2 indicates moderate fibrosis, and grade 3 indicates severe fibrosis. The histological evaluation was conducted by an analyst unaware of the experimental groups.
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6

Histopathological Evaluation of Cardiac Fibrosis

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After the blood samples were collected, pieces of the left-ventricular myocardial tissue were collected for histopathology, fixed in buffered paraformaldehyde solution (4%), and embedded in paraffin. Then, 5 μm thick sections were placed on adhesive slides and stained with hematoxylin and eosin (H&E). Cardiomyocyte cross-sectional areas were calculated under a microscope using the CellA software (Olympus Soft Imaging Solutions GmbH, Germany). Masson's trichrome staining was performed to determine the extent of fibrosis. Four sections per heart were inspected under light microscopy and rated according to the following scoring system: grade 0 indicates normal tissue showing no fibrotic region, grade 1 indicates mild fibrosis, grade 2 indicates moderate fibrosis, and in grade 3 severe fibrosis is indicated. The histological evaluation was conducted by an investigator unaware of the treatment attribution of the animals.
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7

Fungal Species Identification Protocol

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Species identification in pure fungal cultures was carried out on the basis of macro- and micromorphological characteristics on Petri dishes and agar slants, respectively, with Sabouraud medium with the following composition (g dm−3): glucose—40; peptone—10; agar—20, distilled water—1 dm3, and in microcultures, which was described in detail in the study of Bohacz, et al. [26 (link)]. Macroscopic identification concerned the colony morphology of these fungi and their ability to produce pigment. Microscopic identification using an Olympus BX-41 microscope (Olympus, Tokyo, Japan) equipped with a CVIII4 camera (Olympus, Tokyo, Japan) and Cell-A software (Soft Imaging System GmbH, version (v.) 1.20, Münster, Germany) included hyphae structure, the presence and structure of micro- and macroconidia (anamorph), as well as the presence or absence of fruiting bodies (teleomorph). The species classification was based on the systematic keys listed in Bohacz, et al. [26 (link)].
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8

Collagen Quantification in Aortic Tissue

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AFOG staining was used to detect collagen fibers in the aortic tissue as described elsewhere [20 (link)]. The collagen content was determined by semi-quantitative morphometry scoring of the sections under a microscope using Cell^A software (Olympus Soft Imaging Solutions GmbH, Munster, Germany).
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9

Aortic Morphometric Analysis Protocol

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As previously reported [19 (link)], distal regions of the aortic segments were fixed in a buffered paraformaldehyde solution (4%) and embedded in paraffin. Then, 5 μm thick sections were placed on adhesive slides and stained with hematoxylin and eosin as described elsewhere [18 (link)]. The aortic morphometric measurements, including lumen cross-sectional area, intima-media area, and intima-media width, were determined under a microscope using Cell^A software (Olympus Soft Imaging Solutions GmbH, Germany), then normalized to body weight [20 (link)]. Additionally, the intima-media/lumen area ratio was calculated. The evaluation was conducted by an analyst blinded to the experimental groups.
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10

Nitrotyrosine Immunohistochemistry for Oxidative Stress

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According to previously described methods [12 (link)] we performed immunohistochemical staining for nitrotyrosine, a marker of nitrooxidative stress. Semiquantitative histomorphological assessment was performed based on the intensity and distribution of labelling using conventional microscopy. After initially evaluating all corresponding tissue sections (magnification 200x), the tissue section with the most intense labelling signals was used as a reference for maximum labelling intensity. Each specimen was characterized with the average of 4 adjacent fields. Nitrotyrosine levels were scored as follows: 0: complete absence of immunoreactivity, 1: weak area of staining, 2: intermediate staining, and 3: extensive staining. Using the CellA software (Olympus Soft Imaging Solutions GmbH, Germany), we measured the area of the objects in each class in each field, assigned an area score (1 ≤ 10% positive cells, 2 = 11–50% positive cells, 3 = 51–80% positive cells, and 4 ≥ 80% positive cells), and calculated an average score for the whole picture (intensity score multiplied by area score, 0–12). The evaluation was conducted by an investigator blinded to the experimental groups.
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