A comparison of imaging software and conventional cell counting in determining melanocyte density in photodamaged control sample and melanoma in situ biopsies

Coakley, Annie; Muhlbauer, Aaron; Moy, Lauren; Speiser, Jodi

doi:10.1111/cup.13681

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…However, the labor intensiveness of the procedure might also limit the number of slides that can be analyzed. New image analysis tools have opened up new ways of quantifying cells in the skin [ 19 ]. Computerized image analysis is a relatively simple and reproducible form of analysis and is superior in assessing epidermal thickness [ 20 ].…”

Section: Discussionmentioning

confidence: 99%

Quantification of Immunohistochemically Stained Cells in Skin Biopsies

et al. 2022

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Immunohistochemical quantification of inflammatory cells in skin biopsies is a valuable tool for diagnosing skin diseases and assessing treatment response. The quantification of individual cells in biopsies is time-consuming, tedious, and difficult. In this study, we presented and compared two methods for the quantification of CD8+ T cells in skin biopsies from patients with psoriasis using both commercial software (Adobe Photoshop) and open-source software (Qupath). In addition, we provided a detailed, step-by-step description of both methods. The methods are scalable by replacing the CD8 antibody with other antibodies to target different cells. Moreover, we investigated the correlation between quantifying CD8+ cells normalized to area or epidermal length and cell classifications, compared cell classifications in QuPath with threshold classifications in Photoshop, and analyzed the impact of data normalization to epidermal length or area on inflammatory cell densities in skin biopsies from patients with psoriasis. We found a satisfactory correlation between normalizing data to epidermal length and area for psoriasis skin. However, when non-lesional and lesional skin samples were compared, a significant underestimation of inflammatory cell density was found when data were normalized to area instead of epidermal length. Finally, Bland–Altman plots comparing Qupath and Photoshop to quantify inflammatory cell density demonstrated a good agreement between the two methods.

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Section: Discussionmentioning

confidence: 99%

Quantification of Immunohistochemically Stained Cells in Skin Biopsies

et al. 2022

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Cell density detection based on a microfluidic chip with two electrode pairs

2022

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Cell density detection is usually the counting of cells in certain volume of liquid, which is an important process in the eld of biomedicine. The Coulter counting method has been an important method for biological cell detection and counting for decades. In this paper, a micro uidic chip based on two electrode pairs is designed, which uses the Coulter principle to detect the ow rate of uncertain volume liquid and count the cells, and then calculate the cell density by statistics. When the cell passes through the sensor channel formed by the electrode pair on the chip, the impedance will change between the electrodes. This phenomenon has been proved by experiments. The designed chip has the advantages of simple structure, small size and low manufacturing cost. The cell density detection method proposed in this article is of great signi cance to the research in the eld of biological cell detection and development of related medical devices.

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Melanocyte Density in the Diagnosis of Melanoma In Situ in Sun-Damaged Skin

Löper,

Schön,

Mitteldorf

2024

The American Journal of Dermatopathology

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Histologic differentiation between melanoma in situ in chronically sun-damaged skin (CSDS) [lentigo maligna (LM)] and CSDS without malignancy is difficult because signs of melanocyte activation and proliferation are found in both. A potentially reliable and quantifiable criterion is melanocyte density (MD). Here, we evaluated whether and to what extent MD allows the distinction between LM and CSDS, which is particularly relevant for the evaluation of borderline cases and surgical margins. Articles assessing MD in LM and/or CSDS were evaluated in a systematic review. The results were categorized and compared according to staining. Cutoff values were included whenever stated. Twenty articles matched the selection criteria. Six hundred forty-four samples of CSDS and 227 samples of LM were considered. In each individual study, mean MD scores were higher for LM than for CSDS. However, looking at the overall study situation, it becomes clear that the data are very heterogeneous and show overlaps. Therefore, no reliable orientation value can be derived. Only 1 article defined a cutoff value. The data of MD in LM in contrast to CSDS were sparse, and a defined cutoff value was only mentioned in 1 article for microphthalmia-associated transcription factor, which cannot yet be generalized. Especially regarding the importance for the definition of surgical resection margins, this unsatisfactory data set highlights the need for further studies. More precise diagnostic criteria could spare some patients extensive and possibly disfiguring surgery.

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A comparison of imaging software and conventional cell counting in determining melanocyte density in photodamaged control sample and melanoma in situ biopsies

Cited by 3 publications

References 25 publications

Quantification of Immunohistochemically Stained Cells in Skin Biopsies

Quantification of Immunohistochemically Stained Cells in Skin Biopsies

Cell density detection based on a microfluidic chip with two electrode pairs

Melanocyte Density in the Diagnosis of Melanoma In Situ in Sun-Damaged Skin

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