TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Padmakumari Hemachandran Nair, Rajasree
A1  - Menon, Rohit
A1  - Kemkemer, Ralf
T1  - Generalised image processing method for quantitative analysis of nucleus, cell and focal adhesion clusters
JF  - Current directions in biomedical engineering
N2  - Focal adhesion clusters (FAC) are dynamic and complex structures that help cells to sense physicochemical properties of their environment. Research in biomaterials, cell adhesion or cell migration often involves the visualization of FAC by fluorescence staining and microscopy, which necessitates quantitative analysis of FAC and other cell features in microscopy images using image processing. Fluorescence microscopy images of human umbilical vein endothelial cells (HUVEC) obtained at 63x magnification were quantitatively analysed using ImageJ software. A generalised algorithm for selective segmentation and morphological analysis of FAC, nucleus and cell morphology is implemented. Further, a method for discrimination of FACnear the nucleus and around the periphery is implemented using masks. Our algorithm is able to effectively quantify different morphological characteristics of cell components and shows a high sensitivity and specificity while providing a modular software implementation.
KW  - focal adhesion clusters
KW  - algorithm
KW  - fluorescence
KW  - quantitative analysis
KW  - ImageJ
KW  - sensitivity
KW  - specificity
KW  - location selective segmentation
KW  - masks
Y1  - 2021
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-35239
SN  - 2364-5504
SS  - 2364-5504
U6  - https://doi.org/10.1515/cdbme-2021-2142
DO  - https://doi.org/10.1515/cdbme-2021-2142
VL  - 7
IS  - 2
SP  - 558
EP  - 561
S1  - 4
PB  - De Gruyter
CY  - Berlin
ER  -