2019
Examination of the Spatial Structure of Pigs' Melanoma in Tissue Sections Based on Histology and Mass Spectrometry
ANYZ, J., L. VYSLOUZILOVA, V. HORAK, O. STEPANKOVA, Tomáš VACULOVIČ et. al.Základní údaje
Originální název
Examination of the Spatial Structure of Pigs' Melanoma in Tissue Sections Based on Histology and Mass Spectrometry
Autoři
ANYZ, J. (garant), L. VYSLOUZILOVA, V. HORAK, O. STEPANKOVA, Tomáš VACULOVIČ (203 Česká republika, domácí) a V. ADAM
Vydání
NEW YORK, WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 1, od s. 255-259, 5 s. 2019
Nakladatel
SPRINGER
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
20600 2.6 Medical engineering
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Odkazy
Kód RIV
RIV/00216224:14310/19:00113731
Organizační jednotka
Přírodovědecká fakulta
ISBN
978-981-10-9034-9
ISSN
UT WoS
000450908300046
Klíčová slova anglicky
Clustering; Image processing; MeLiM; Melanoma 2D maximum overlap wavelet transform
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 11. 5. 2020 18:34, Mgr. Marie Šípková, DiS.
Anotace
V originále
We examine the spatial structure of the melanoma in tissue sections. The pigs melanoma was examined in 10 tissue samples obtained from animals of age between 4 and 22 weeks. The tissue sections were measured by light microscopy and Laser Ablation Ion Inductively Coupled Plasma Mass Spectrometry to obtain spatial metal (Cu, Zn) distribution. The exploratory analysis of the tissue sections indicates there is clearly a pattern in the spatial structure. Different projections of the spatial structure of the melanoma are obtained by the different measurement methods. The spectral clustering on the data was utilized to describe the structure in the data. According to the clustering results, there are distinct clusters of observations in the histological data. The spatial elemental distribution of the metals Cu and Zn cannot be clustered -the data form one compact cluster. The clustering of the histological images produces clusters which are related to the annotation of the biological samples in broader terms -the differences between fibrous and cancerous tissue.