Cellquant

Manufactured by 3DHISTECH

CellQuant is a digital cell quantification system designed for accurate and efficient counting of cells in a sample. It utilizes advanced imaging and analysis algorithms to provide reliable cell count data.

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Lab products found in correlation

Quantcenter, by 3DHISTECH (1 mentions) Pannoramic midi 2, by 3DHISTECH (1 mentions) Panoramic digital slide scanner, by 3DHISTECH (1 mentions) Histoquant, by 3DHISTECH (1 mentions) Pannoramic midi 2 scanner, by 3DHISTECH (1 mentions) Quantcenter software, by 3DHISTECH (1 mentions) Caseviewer, by 3DHISTECH (1 mentions)

4 protocols using cellquant

Quantitative Analysis of Protein Expression in Lung Cancer Tissues

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IHC slides were scanned with the Pannoramic MIDI II (3DHistech) histological scanner and evaluated using the QuantCenter (3DHistech) digital image analysis software. The cells of interest (cancer cells or normal lung alveolar cells) were distinguished from the other cellular components using the PatternQuant (3DHistech) software module. Then, the CellQuant (3DHistech) module was used to determine the percentage of positive cells and the intensity of the reaction among the selected tissue compartments only. The expression levels of SATB1 and the Ki-67 proliferative index were evaluated as previously described (59 (link)). The membranous expression of E-cadherin and N-cadherin was assessed using a scale ranging from 0 to 3, based on the percentage of positive cells and the intensity of the staining (Table II).
SNAIL, SLUG, and Twist1 protein expression levels were assessed using the Allred scale. This scoring system is calculated by adding a number representing the proportion of positive cells (0–5) to a number reflecting the intensity of the staining (0–3) (63 (link)). The final score value ranges from 0 to 8, where 0 indicates no positive cells, and 8 indicates more than 66% of highly positive cells (Table III). The Allred scale can be used to evaluate both nuclear and cytoplasmic stainings.

Glatzel-Plucinska N., Piotrowska A., Rzechonek A., Podhorska-Okolow M, & Dziegiel P. (2021). SATB1 protein is associated with the epithelial-mesenchymal transition process in non-small cell lung cancers. Oncology Reports, 45(6), 118.

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Histological Analysis of Liver and Ovary

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Liver and ovary tissue samples were sampled in 10% formalin, ingrained in paraffin and sliced at 4 μm thickness. Then, Hematoxylin & Eosin (H&E), Sirius Red and Masson Goldner staining is performed on the sections (T&P Bio company) and observed under Panoramic digital slide scanners (3D HISTECH Ltd.) at 200x magnification. All stained tissues were analyzed and measured by Cell Quant and Histo Quant software (3D HISTECH Ltd.).

Na J., Song J., Kim H.H., Seok J., Kim J.Y., Jun J.H, & Kim G.J. (2020). Human placenta-derived mesenchymal stem cells trigger repair system in TAA-injured rat model via antioxidant effect. Aging (Albany NY), 13(1), 61-76.

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Quantitative Analysis of Immune Cell Markers

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The degree of immunohistochemical expression of the examined antigens was assessed using a digital method (QuantCenter software; 3DHistech). For this purpose, each whole slide was scanned using the Pannoramic MIDI II scanner (3DHistech) at 40 × magnification, and the resulting images were pre-prepared for further evaluation with CaseViewer (3DHistech). To determine the percentage of positive immune cells displaying membrane expression of CD45/CD3/CD4/CD8, CellQuant (3DHistech) software module was used. Representative images with the positive immunohistochemical reactions against selected antigens are presented in Fig. 2A.Figure 2

(A) Representative photos showing the distribution of CD3⁺, CD4⁺, CD8⁺ and CD45⁺ cells in normal and post-mortem intestinal mucosa. Particular attention should be drawn to clusters of lymphoid tissue, which seem to be the main source of immune cells infiltrating the lamina propria. Scale bars = 50 μm. (B−E) Comparison of immune cell numbers between normal colonic mucosa (HC; n = 16) and post-mortem samples (PM; n = 16).

Zadka Ł., Chrabaszcz K., Buzalewicz I., Wiercigroch E., Glatzel-Plucińska N., Szleszkowski Ł., Gomułkiewicz A., Piotrowska A., Kurnol K., Dzięgiel P., Jurek T, & Malek K. (2021). Molecular profiling of the intestinal mucosa and immune cells of the colon by multi-parametric histological techniques. Scientific Reports, 11, 11309.

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Histological Evaluation of IgA Nephropathy

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Two renal pathologists who were blinded to the clinical data evaluated the histological findings using the revised MEST‐C score in the Oxford IgAN classification, and recorded the percentages of inflammation cell infiltration, and vascular lesions, as previously reported.⁹, ¹⁰ The interstitial inflammation index (Inf I) was used to assess the extent of interstitial inflammatory cell infiltration (0: 0%; 1: <10%; 2: 10%–24%; 3: 25%–49%; 4: >50%). The vascular chronic index (VCI) was used to assess arterial hyaline change and vascular wall thickening (0: absent, 1: present).¹⁰ CD4⁺ T cells, CD8⁺ T cells, CD20⁺ B cells, and CD68⁺ macrophages were counted in five representative high‐power fields (HPFs, Cell Quant, 3DHISTECH) and the average number of cells per HPF was calculated.¹¹

Yang N., Li L., He H., Guo X., Yuan X., Li Z., Wang W., Qin B., Du X., Zhang X., Chen S, & Lin H. (2022). Positive association of serum FUT8 activity with renal tubulointerstitial injury in IgA nephropathy patients. Immunity, Inflammation and Disease, 10(9), e686.

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