Derinliğe Bağlı Kondrosit Yüzey Alanı İçin Cevap Yüzey Yöntemi

Year 2021, Volume: 14 Issue: 2, 714 - 723, 31.08.2021

Ekrem Çiçek

https://doi.org/10.18185/erzifbed.827163

Abstract

Eklem kıkırdağı, düşük sürtünmeli beyaz bir bağ dokusudur. Eklem kıkırdağındaki tek hücre tipi kondrositlerdir. Kıkırdakta düzgün eklemlenmeye izin verirler. Yetersiz rejeneratif kapasiteye sahiptirler. Cevap yüzey yöntemi, polinomları kullanarak herhangi bir işlemin modellenmesi için çok yararlı bir yöntemdir. Bu çalışmada, sığır eklem kıkırdağından kondrosit yüzey alanı derinliğe bağlı olarak incelenmiştir. Osteokondral eksplantların görüntülenmesi için konfokal mikroskop kullanılmıştır. Sığır eklem kıkırdağının konfokal görüntüsünden kondrosit alanını tahmin etmede öngörücü regresyon modelini oluşturmak için cevap yüzey yöntemi kullanıldı. Cevap yüzey yöntemi, girdi değişkenleri ve yanıt arasındaki ilişkileri incelemek için kullanılmıştır. Kondrosit yüzey alanı yanıt iken, kondrosit çevresi ve derinliği girdi değerleri olarak seçilmiştir. Derinliğe bağlı ölçülen ve hesaplanan kondrosit yüzey alanı gösterilmiştir. Cevap yüzey modeli anlamlı (p =0.001) ve R2 = 0.81 olduğundan kondrosit yüzey alanının tahmini için yeterliydi. Cevap yüzey yöntemi kondrosit yüzey alanının tahmini için kullanılabilir. Görüntü işlemede istatistiksel deneysel tasarım tekniklerinin uygulanması, deneysel çalışmaları azaltabilir ve deney hayvanlarının hayatını kurtarabilir.

Keywords

Kıkırdak, kondrosit, cevap yüzey yöntemi

The Response Surface Methodology for Depth-Dependent Chondrocyte Surface Area

Abstract

Articular cartilage is a low-friction white connective tissue. The only cell type in articular cartilage are chondrocytes. They permit smooth articulation in cartilage. They have insufficient regenerative capacity. Response surface methodology is a very useful tool for the modelling of any processes using polynomials. This study investigated the depth-dependent chondrocyte surface area from bovine articular cartilage. Confocal microscope was utilized to image osteochondral explants. The response surface methodology was used to constitute the predictive regression model to guess chondrocyte area from confocal image of bovine articular cartilage. This methodology was employed to examine the relationships among input variables and response. The response was surface area of chondrocyte while the inputs were perimeter of chondrocyte and depth. The depth-dependent measured and calculated chondrocyte surface area was demonstrated. The response surface model was significant (p=0.001) and adequate for the prediction the chondrocyte surface area since R2 = 0.81. The chondrocyte surface area can be predicted with perimeter and depth by response surface methodology. The implementation of statistical experimental design techniques in image processing can reduce experimental runs and save experimental animals live.

Keywords

Cartilage, chondrocyte, response surface methodology

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