An easy cell counting method for immunohistochemistry that does not use an image analysis program

Bologna‐Molina, Ronell; Damián-Matsumura, Pablo; Molina-Frechero, Nelly

doi:10.1111/j.1365-2559.2011.03954.x

Cited by 48 publications

(42 citation statements)

References 6 publications

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“…A conventional method of using a 100 square microscope eyepiece graticule to aid counting was used 18 19. The number of positively stained and negatively stained cells in each graticule square was counted by eye and recorded using a tally counter by a trained observer.…”

Section: Methodsmentioning

confidence: 99%

Accuracy of visual assessments of proliferation indices in gastroenteropancreatic neuroendocrine tumours

et al. 2013

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Manual tally counts of 2000 cells exhibited similar levels of accuracy to the gold standard, especially at low PIs. Eyeball estimates were significantly less accurate than the gold standard. This suggests that tumour grades may be misclassified by eyeballing and that formal tally counting of positive cells produces more reliable results. Further studies are needed to identify accurate clinically appropriate ways of calculating.

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Section: Methodsmentioning

confidence: 99%

Accuracy of visual assessments of proliferation indices in gastroenteropancreatic neuroendocrine tumours

et al. 2013

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“…The manual scoring and DM scoring methods for Ki-67 immunostaining were performed according to Bologna-Molina et al [7] and Carreón-Burciaga et al [8], respectively.…”

Section: Methodsmentioning

confidence: 99%

“…In accordance with Bologna-Molina et al [7], five photomicrographs were chosen for this method, and the growth fraction for each AM case was determined (labeling index) (Figure 1). …”

Section: Methodsmentioning

confidence: 99%

“…The nuclear area analysis was performed according to the online ImmunoRatio method. As proposed by Bologna-Molina et al [7], we obtained the labeling index of the nuclear area for both online and ImageJ ImmunoRatio methods using automated cell counting in five fields of view at 40x magnification [7]. …”

Section: Methodsmentioning

confidence: 99%

“…Cell counts must be performed to determine the growth fraction of cell populations, and the labeling index is the most frequently used method [6]. We proposed a simple change to this method in 2008 [7], including the use of a photomicrograph analysis software suite that increased cell counting accuracy and decreased rater fatigue. However, this method does not enable the rater to mark the counted cells.…”

Section: Introductionmentioning

confidence: 99%

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Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas

González-González

Molina-Frechero

Carreon-Burciaga

et al. 2016

Analytical Cellular Pathology

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Ameloblastoma is a common and unpredictable odontogenic tumor with high relapse rates. Several studies assessing the proliferative capacity of these neoplasms have been published, mainly using the protein Ki-67. Cell counts must be completed to determine the cell proliferation rate. Multiple methods have been developed for this purpose. The most widely used method is the labeling index, which has undergone changes over time to better facilitate cell counting. Here, we compared manual cell counting methods with automated cell counting (ImmunoRatio) to determine the relative effectiveness of these methods. The results suggest that ImmunoRatio, a free software tool, may be highly advantageous and provide results similar to manual cell counting methods when used with the appropriate calibration. However, ImmunoRatio has flaws that may affect the labeling index results. Therefore, this automated cell counting method must be supplemented with manual cell counting methods.

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An Examination of the Development and Localization of Key Immune Cells in Developing Pouch Young of the Red‐Tailed Phascogale (Phascogale calura)

Borthwick

Young

Old

2019

The Anatomical Record

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Cells expressing the surface markers CD3, CD4, CD79b, IgM, MHC class II, and ModoUG (nonclassical MHC class I) were detected in red-tailed phascogale tissues using immunohistochemistry, and the appearance and localization of cells observed here was consistent with previous observations in other marsupial species. CD3 + cells were first detected at one day postpartum (dpp) in the thymus, followed by ModoUG + cells at 5-7 dpp in the thymus and lymph nodes. CD79b + cells were first detected at 12-14 dpp in bone marrow, spleen, and lymph nodes. IgM + cells were first detected at 12-14 dpp in thymus, bone marrow, spleen, and lymph nodes. MHC class II + cells were first detected at 12-14 dpp in thymus, bone marrow, and lymph nodes. CD4 + cells were detected in adult thymus and spleen only. The presence of the mature immune cell populations and their localization to characteristic T and B cell zones in mature lymphoid tissues with normal histological structure indicates that red-tailed phascogales develop immunocompetence by the end of pouch life.

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An easy cell counting method for immunohistochemistry that does not use an image analysis program

Abstract: Our case is unique, as we found no previous reports of BPDCN presenting as a renal mass mimicking a primary renal malignancy clinically and radiologically, without the characteristic skin lesions. This highlights the importance of biopsy diagnosis of renal neoplasms.

Cited by 48 publications

References 6 publications

Accuracy of visual assessments of proliferation indices in gastroenteropancreatic neuroendocrine tumours

Accuracy of visual assessments of proliferation indices in gastroenteropancreatic neuroendocrine tumours

Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas

An Examination of the Development and Localization of Key Immune Cells in Developing Pouch Young of the Red‐Tailed Phascogale (Phascogale calura)

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