Fluorescent microscopy was used to visualize the surface structure of freshly cooked and cooled potato as well as the dried samples. In brief, each sample was transferred to glass slides with 2 drops of distilled water. To look at starch granule surfaces, a single drop of Calcofluor-white (1 g/L) (Sigma-Aldrich, Cat No. 18909) was added to the slide and allowed to react for 2 min. To view granule surfaces, the slides were viewed under dark field with an excitation wavelength of 365 nm. Image collection was performed at magnifications of 175× with a photomicroscope assembly (Leica EC3 camera mounted on a Leica DM2000 microscope with LASEZ (Leica Microsystems, Version 2.0.0, Buffalo Grove, IL, USA) imaging software).
Las ez
Manufactured by Leica
Sourced in Germany, United States, Switzerland
The LAS EZ is a software application designed for image acquisition, processing, and analysis. It provides a user-friendly interface for controlling Leica microscopes and cameras, allowing researchers to capture high-quality images and perform basic image analysis tasks.
Automatically generated - may contain errors
Lab products found in correlation
Dm500, by Leica (4 mentions)
Cm1510, by Leica (2 mentions)
Icc50, by Leica (2 mentions)
Icc50w, by Leica (2 mentions)
Dm750m, by Leica (2 mentions)
Calcofluor white, by Merck Group (1 mentions)
Microtome, by Leica (1 mentions)
Paraplast, by Merck Group (1 mentions)
Nb500 106, by Novus Biologicals (1 mentions)
Dm750, by Leica (1 mentions)
Fei quanta 200, by Thermo Fisher Scientific (1 mentions)
Dm750 optical microscope, by Leica (1 mentions)
Image pro plus software, by Media Cybernetics (1 mentions)
Tm3000, by Hitachi (1 mentions)
Scd 050, by Oerlikon Balzers (1 mentions)
Cpd 030, by Oerlikon Balzers (1 mentions)
Abc kit, by Vector Laboratories (1 mentions)
Image pro plus, by Media Cybernetics (1 mentions)
Hematoxylin, by Merck Group (1 mentions)
S8apo stereozoom microscope, by Leica (1 mentions)
21 protocols using las ez
1
Visualizing Potato Surface Structure
2
Chicken brain cell proliferation
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Chicken brains (n=9), three from each of the control group, 50 μg/L pG group, and 500 μg/L pG group, were sampled and fixed in Bouin’s solution. Fixed samples were dehydrated in a graded series of ethanol, embedded in Paraplast® (Sigma-Aldrich Co.), and cut into 5 μm sections using a microtome (RM 2265; Leica Microsystems Nussloch GmbH). Proliferating cells were identified by immunohistochemistry using antibodies directed against PCNA (NB500-106; Novus Biologicals, Littleton, CO, USA). Sections for this purpose were incubated with mouse monoclonal anti-PCNA (dilution 1:200) for 1 hour at 4°C and visualized with Dako EnVision™ +System-HRP (DAKO K4007; Dako A/S, Glostrup, Denmark). The proliferation levels are expressed as the number of PCNA-positive nuclei in the cross-sections of the cerebrum and were counted in visual fields (40 μm2) of the tissue.
Morphometric evaluation of a number of PCNA-positive cells was carried out using a Leica microscope (DN 750; Leica Microsystems Nussloch GmbH). Ten measurements of each sample were performed at 400× magnification using LAS EZ® Version 2.0.0 software (Leica Microsystems).
Data were analyzed using the general linear model procedure of SAS (SAS Institute Inc., Cary, NC, USA).23 The Tukey–Kramer honestly significant difference test was used to test the separation of the means at a significance level of P<0.05.
Morphometric evaluation of a number of PCNA-positive cells was carried out using a Leica microscope (DN 750; Leica Microsystems Nussloch GmbH). Ten measurements of each sample were performed at 400× magnification using LAS EZ® Version 2.0.0 software (Leica Microsystems).
Data were analyzed using the general linear model procedure of SAS (SAS Institute Inc., Cary, NC, USA).23 The Tukey–Kramer honestly significant difference test was used to test the separation of the means at a significance level of P<0.05.
3
Glioma Cell Morphology Assay
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U87 and U118 glioma cell lines were placed on 6-well plates (1x 105 cells per well) and treated with NP-Pt and cisplatin after overnight incubation. After 24h of incubation, the morphology of cells was recorded under an optical microscope (DM750; Leica Microsystems GmbH, Wetzlar, Germany) using LAS EZ version 2.0 software. The experiment was performed in three repetitions (each experimental group in triplicate).
4
Histopathological Analysis of Avian Tissues
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A total of 20 birds belonging to the different 20 affected flocks from the 6 farms under study, were selected for histopathologic studies (Table 2 ). Following necropsy, trachea and lungs were examined grossly and collected tissue samples were fixed for 48 h in 10% formalin solution. After the fixation was completed, tissue modeling and tissue incorporation into paraffin were performed. The modeled tissue was first dehydrated through the following series of alcohols: 70%, 96% and absolute alcohol, and then clarified in xylene and impregnated with paraffin. Paraffin molds were cut into 4–5 μm thick sections and mounted on slides. After dewaxing and rehydration, tissue sections were stained by hematoxylin-eosin (HE). Slides were examined under light microscope (Leica Microsystems, LAS EZ).
5
Histological Analysis of Endometrial Tissue
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Light microscopy provides transverse images of the tissue, showing structures in the stratum compactum and spongiosum of the endometrium, including the luminal epithelium, endometrial glands, stroma, and blood vessels. Samples conserved in formalin were processed to be included in paraffin. Paraffin blocks were cut with an automated microtome (Leica, RM165) at 5-µm thickness, adhered in histology slides, and kept on a 60 °C incubator. After deparaffinization, cuts were stained using routine techniques for tissue samples (Tolosa et al., 2003 ), using hematoxylin and eosin (H-E) staining. All sample slides were analyzed under light microscopy by an experienced pathologist blinded from any information.
The morphological features were photo-documented using an optical microscope (DM500, Leica Microsystems GmbH, Germany) with an attached capture camera (ICC500 HD, Leica Microsystems GmbH, Germany), and an image acquisition software (LAS EZ, Leica Microsystems GmbH, Germany). Measurements and counting were done using the ImageJ image analyzing software (ImageJ, National Institutes of Health, Maryland, USA).
The following measures were performed in both uterine horns:
An average of the records of each variable for each uterine horn was calculated.
The morphological features were photo-documented using an optical microscope (DM500, Leica Microsystems GmbH, Germany) with an attached capture camera (ICC500 HD, Leica Microsystems GmbH, Germany), and an image acquisition software (LAS EZ, Leica Microsystems GmbH, Germany). Measurements and counting were done using the ImageJ image analyzing software (ImageJ, National Institutes of Health, Maryland, USA).
The following measures were performed in both uterine horns:
An average of the records of each variable for each uterine horn was calculated.
6
Microscopic Analysis of Plant Anatomy
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The observation of the slides and the photographic recording of the images were performed by using a microscope (LAS EZ from Leica Microsystems version 3.4) with a built-in camera.
For each plant tissue, the following variables were analyzed:
Roots: xylem vessels radius and frequency.
Leaves: radius of vascular bundles (central venation and parallel venations).
Culms: radius of vascular bundles (close to outer epidermis and to the inner of culms).
The measurements were carried out by using the software T Capture, and the statistical analyses of the averages were performed by using the R software (Rstudio interface).
For each plant tissue, the following variables were analyzed:
Roots: xylem vessels radius and frequency.
Leaves: radius of vascular bundles (central venation and parallel venations).
Culms: radius of vascular bundles (close to outer epidermis and to the inner of culms).
The measurements were carried out by using the software T Capture, and the statistical analyses of the averages were performed by using the R software (Rstudio interface).
7
Microscopic Analysis of Bread Dough
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No yeast-containing doughs were observed with a DM750 optical microscope (Leica Microsystems, Wetzlar, Germany) fitted with an EC3 (for room temperature images) and Linkam video cameras (for hot-stage imaging). Room temperature and hot-stage images/videos were captured with LAS-EZ (Leica Microsystems, Wetzlar, Germany) and Link (Linkam Scientific Instruments Ltd, Waterfield, United Kingdom) software, respectively. Dough was placed on a glass microscope slide and covered with a cover slip. Then, sample slides were compressed under a 1 kg weight to create a layer of uniform thickness. Micrographs were taken at least twice in two random points of each sample.
Bread crumb and crust photomicrographs were taken with a Quanta 200FEI (Hillsboro, Oregon, USA) environmental scanning electron microscope (ESEM) in high vacuum mode. Crumb pictures were taken from a perpendicular slant to the cell wall highlighting the surface of the air cell wall. Conversely, crust pictures were taken showing their lengthwise section, i.e., showing the crust thickness. In order to better assess crumb macrostructure, bread slices were scanned in a HP Scanjet G3110 (Palo Alto, CA, USA).
Bread crumb and crust photomicrographs were taken with a Quanta 200FEI (Hillsboro, Oregon, USA) environmental scanning electron microscope (ESEM) in high vacuum mode. Crumb pictures were taken from a perpendicular slant to the cell wall highlighting the surface of the air cell wall. Conversely, crust pictures were taken showing their lengthwise section, i.e., showing the crust thickness. In order to better assess crumb macrostructure, bread slices were scanned in a HP Scanjet G3110 (Palo Alto, CA, USA).
8
Visualizing BASIDIN-Induced ROS in Tomato Leaves
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To evaluate the involvement of BASIDIN in the generation of ROS in tomato leaves, the accumulation of hydrogen peroxide was analyzed. Two leaves of S. lycopersicum were sprayed with rBASIDIN, and as a control, two leaves were sprayed with 10 mmol L−1 of Tris-HCl buffer pH 8. At 6 h after application, leaf discs were collected and immersed in 1 mg mL−1 of 3-3′ diaminobenzidine (DAB) and HCl, pH 3.8. Next, the leaf discs were subjected to vacuum for approximately 30 min, after which they were incubated in the dark for 24 h. Afterward, the discs were boiled in 96% ethanol for 20 min and then washed with 50% ethanol until all chlorophyll was removed. The images were recorded with a Leica EZ4D magnifier and photographed using the program LAS EZ (Leica Application Suite, Version 1.4.0). The experiment also had vacuum infiltration of leaf discs with autoclaved water as a control.
9
Microalgae Identification Protocol
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Microalgae identification was based on the morphological characteristics observed under a bright-field microscope following the basic identification keys from references [31 , 32 ]. The strains were examined under a light microscope (Leica) using the software LAS EZ (Leica DM500). Microalgae was identified at the genus level every seven days until the experiment was concluded.
10
Muscle Fiber Characteristics Quantification
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Using a cryostat (CM1510S, Leica, Nussloch, Germany) at −25°C, serial transverse muscle sections (10 μm) were obtained from each muscle sample. All muscle sections were stained using hematoxylin and eosin staining method (Cardiff et al., 2014 (link)). These stained slides were used to evaluate the muscle fiber characteristics, including average area and total number of muscle fibers. Each image was captured using an optical microscope (DM500, Leica Microsystems, Wetzlar, Germany) equipped with a high-definition digital camera (ICC50, Leica Microsystems, Milton Keynes, England) connected to a desktop computer with Leica software (LAS EZ, Heerbrugg, Switzerland). All histochemical images were examined using an image analysis system (Image-Pro Plus software, Media Cybernetics, Silver Spring, MD). At least 500 fibers per sample were evaluated for statistical analysis. The average CSA of muscle fibers was determined by dividing the total fiber area measured by the total fiber number. Total number of fibers was determined by multiplying muscle fiber density by CSA of PM muscle.
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