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Icc50 hd microscope

Manufactured by Leica
Sourced in Germany

The ICC50 HD microscope is a high-definition imaging system designed for laboratory applications. It features a digital camera capable of capturing detailed images and video. The microscope is equipped with advanced optics and illumination to provide clear, high-resolution observations.

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27 protocols using icc50 hd microscope

1

Histological Analysis of EAE-Induced Spinal Cords

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At 28 days following EAE-induction, spinal cords were fully sampled from cervical to lumbar area and were fixed in 10 % (w/v) PBS-buffered formaldehyde. Spinal cord samples were first paraffin-embedded and cut into 7 μm-thick sections and then were deparaffinized with xylene, rehydrated, stained with May Grunwald Giemsa and studied using light microscopy (Leica ICC50HD microscope).
May Grunwald Giemsa staining was performed according to the manufacturer’s protocol (Bio-Optica, Milan, Italy) for the differentiation of cells present in lymphohemopoietic tissues. The staining solutions contain methylene blue (a basic dye), related azures (also basic dyes) and eosin (an acid dye). The first involves a blue/purple staining, the second involves a pink/red staining. The staining provides the nuclei of white blood cells and the granules of basophil granulocytes in blue, while red blood cells and eosinophil granules in red.
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2

Computer-Aided Cervical Cancer Screening

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In this study, the performance of the developed systems was measured using the cervical intra-epithelial squamous cell (CESC) dataset. LBC is an intrinsic technique for cervical cancer screening. Glass slides were converted into WSI images for computer-aided analysis. The dataset consists of 962 images acquired with a Leica ICC50 HD microscope at a magnification factor of 40×. The dataset is distributed among four classes representing the stages of squamous cell development of cervical cancer as follows: 163 images of a high-squamous intra-epithelial lesion (HSEL), 113 images of a low-squamous intra-epithelial lesion (LSEL), 612 images of negative for intra-epithelial malignancy (NEM), and 74 images of a squamous cell carcinoma (SCC) [35 (link)]. Doctors and specialists examine abnormal cell changes to detect malignant or pre-malignant features. Therefore, it takes a long time, and the diagnosis is subject to different opinions. Therefore, computer-assisted techniques limit the late diagnosis of cervical cancer and help doctors support their diagnosis to administer appropriate treatment before it is too late.
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3

Histological Analysis of Leaf Lamina

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After the mature lamina joints of the wild-type and rela mutant were separated, they were rapidly fixed in formaldehyde-acetic acid-alcohol (FAA) at 4°C for 72 h. Subsequently, the samples were dehydrated through a gradient ethanol solution. The dehydrated samples were subjected to a xylene:ethanol clear solution of 1:2, 1:1, and 2:1 and finally transitioned to xylene. The samples were then incubated in a xylene:Paraplast Plus solution (Sigma–Aldrich) solution of 1:1 at 37°C for 48 h. The samples were embedded in Paraplast Plus for 3 days. The samples were then sectioned into 8-μm-thick sections by an RM2245 rotary microtome (Leica). After the removal of Paraplast Plus with xylene:ethanol ratios of 2:1, 1:1, and 1:2, the sections were rehydrated with gradient ethanol, followed by safranin-fixed green staining. Images were taken with an ICC50 HD microscope (Leica), and the cell length and cell area were subsequently measured using ImageJ.
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4

Histopathological Analysis of Oral Cancer

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There were 1224 total images from 230 patients in this dataset. There are two sets of images, each with a different resolution. “The first collection consisted of 439 OSCC images at 100x magnification and 89 histopathological images of the normal epithelium of the oral cavity. The second group consisted of 495 histopathological images of OSCC tissue at 400x magnification and 201 images of the normal epithelium of the oral cavity. The second group consisted of 495 histopathological images of OSCC tissue at 400x magnification and 201 images of the normal epithelium of the oral cavity. A total of 934 malignant (OSCC) images and 290 normal (benign) oral cavity epithelium images were obtained. Medical professionals collected, processed, and cataloged the slides of tissue stained with H&E. Images were then taken using a Leica ICC50 HD microscope [33 (link)]. Histopathological images of oral cancer squamous cell samples are presented in Fig. 2.

Sample of oral squamous cell histopathological images (a) benign (b) malignant

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5

Oral Cancer Image Dataset for Research

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The dataset employed in this investigation comprises 1,224 publicly accessible images. These images are segregated into two distinct collections, each exhibiting varying resolutions. The initial collection encompasses 89 images displaying normal epithelial tissue of the oral cavity and 439 images depicting Oral Squamous Cell Carcinoma (OSCC) at a magnification level of 100x. Meanwhile, the secondary collection encompasses 201 images exhibiting normal oral epithelium and 495 histopathological representations of OSCC at a magnification of 400x. These images were captured via a Leica ICC50 HD microscope, utilizing H&E staining on tissue slides that were meticulously assembled, processed, and classified by proficient medical specialists, sourced from 230 individual patients (17 (link)). Image data distribution is shown in Table 2 and data description in Figure 2.
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6

Cervical Cancer Screening Dataset

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The datasets were published on 15 November 2019 that were acquired from version 3 [14 (link)]. The contributors were Elima Hussain, Lipi B. Mahanta, Himakshi Borah, and Chandana Ray Das.
LBC is a type of cervical screening test. According to Bethesda System criteria, the collection contains 963 images split into four groups of images illustrating the four types of pre-cancerous and cancerous lesions of cervical cancer. The pap smear images were acquired at 40× magnification using a Leica ICC50 HD microscope; these pap smears were collected from 460 patients and prepared using the LBC technique. Microscopic examination of abnormal variations at the cell level enables the identification of malignancy or pre-malignant characteristics. Because of the time-consuming nature of this process and the possibility of inter- or intra-observer variability, computer-assisted diagnosis has the potential to reduce the number of cervical cancer cases that are diagnosed too late and shorten the time it takes to diagnose a disease. The datasets include four types of cancer-related images: HSIL (163), LSIL (113), negative for intraepithelial malignancy (613), and SCC (74). Figure 2 illustrates the samples for each category. There was a total of 350 abnormal and 613 normal images.
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7

Stomatal Closure Assays with ABA and Ca2+

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Stomatal closure assays were performed as previously described (Zeng et al., 2010 (link); Gou et al., 2015 (link)) with slight modifications. Plants were grown under a 12/12 h photoperiod at 22°C for ABA- or Ca2+-induced stomatal closure assay. Leaves were collected at 4 weeks after germination and placed in MES buffer (10 mM MES–Tris, pH 6.15, 50 mM KCl) or MES buffer with 20 μM abscisic acid (ABA) or MES buffer with 100 μM CaCl2 in closed Petri dishes for 1.5 h. Epidermises were peeled and imaged with a Lecia ICC50HD microscope. At least 30 stomatal apertures were measured for each sample from about five expanded leaves using ImageJ software. Each experiment was repeated at least three times.
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8

Quantitative Analysis of Xenograft Tumors

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Resected xenograft tumors were fixed with 4% paraformaldehyde, dehydrated with 20% sucrose solution, and embedded in paraffin. Tissues were sectioned at 10-mm intervals, deparaffinized and stained with rabbit anti-Ki67 (1:100, GenTex) or anti-cleaved caspase 3 (1:100, Cell Signaling Technology) antibodies, followed by the HRP-conjugated goat anti rabbit IgG secondary antibody (1:200) using the ultra-sensitive ABC peroxidase staining kit (Pierce) [37 (link)]. At least 5 images per section at random fields were taken by a Leica ICC50HD microscope using 10x lens and analyzed by the Image J software.
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9

Co-cultivation of Clostridioides difficile and Bacteroides

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Equal volumes (0.1 mL each) of stationary-phase CD ATCC9689 and B. fragilis YCH46 or B. thetaiotaomicron VPI-5482 were inoculated into 10 mL fresh GAM broth. We monitored the visible changes of CD cells under co-cultivation with B. fragilis YCH46 or B. thetaiotaomicron VPI-5482. The co-culture was periodically sampled and spread on glass slides. After fixation with methanol, the slides were Gram stained using a staining kit (Favor G “Nissui”; Nissui Pharmaceutical Co., Ltd., Tokyo, Japan). Microscopic images were captured with a Leica ICC50 HD microscope. After 24-h incubation, the remaining cultures were centrifuged at 10,000× g for 15 min, and the supernatant was passed through a 0.22 µm filter (ADVANTEC, DISMIC-25SS) to remove bacterial cells. Aliquots of the filtrate were stocked at –80 °C until use for cytotoxicity assay described below.
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10

Yeast Cell Enumeration and Wort Inoculation

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The cultured yeast cells were counted using a Thoma chamber. A suspension of yeast cells was sampled for counting, diluted 10-fold in sterile distilled water, and mounted under a coverslip. After 5 min, the yeast was counted against the smallest squares of the chamber through a Leica ICC50 HD microscope (Wetzlar, Germany). To ensure accurate quantification, the cells were counted in 3 separately prepared microscope slides, with yeast counts being no less than 700. Cell counts per 1 mL of the culture were calculated according to the formula:
where:
a—dilution factor
N—average cell count in the smallest square of the Thoma chamber
X = 10·33·4·106 = 8·108The volume of suspension needed to inoculate 1.5 L of 8°Bx wort was then calculated, assuming minimum cell counts of 1·106/mL wort/1°Bx. Per the calculations, 7.7 mL of suspension was taken from the obtained yeast culture and used to inoculate the wort with a sufficient microbial load.
The wort was fermented at 17 °C for 72 h, then at 8 °C for 24 h. The final beer batches were bottled in 100 mL bottles and subjected to further analysis as part of the experiment.
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