D 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.