This paper presents a new image processing technique for estimating cell numbers and contours in three-dimensional (3-D) microfabricated scaffolds. The method is based on a statistical approach, and utilizes the extreme value theory, which assumes that cells in the image field are rare, high-intensity events. Confocal microscopy images of fibroblasts on 3-D structures were processed using the method, and the resulting data on cell numbers was compared with countings obtained using a Burker chamber. The results were identical to within a few percent.
A new method for quantitative cellular imaging on 3-D scaffolds using fluorescence microscopy
Santarelli MF;Landini L;
2003
Abstract
This paper presents a new image processing technique for estimating cell numbers and contours in three-dimensional (3-D) microfabricated scaffolds. The method is based on a statistical approach, and utilizes the extreme value theory, which assumes that cells in the image field are rare, high-intensity events. Confocal microscopy images of fibroblasts on 3-D structures were processed using the method, and the resulting data on cell numbers was compared with countings obtained using a Burker chamber. The results were identical to within a few percent.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.