Tracing 2D Growth of Pancreatic Tumoroids Using the Combination of Image Processing Techniques and Mini-Opto Tomography Imaging System

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dc.authoridPolat, Adem/0000-0002-5662-4141
dc.contributor.authorAkbaba, Cihat Ediz
dc.contributor.authorPolat, Adem
dc.contributor.authorGokturk, Dilek
dc.date.accessioned2025-01-06T17:36:47Z
dc.date.available2025-01-06T17:36:47Z
dc.date.issued2023
dc.description.abstractObjectives: In this study, we aimed to trace the 2D growth development of tumoroids produced with MIA PaCa-2 pancreatic cancer cells at different time points. Methods We cultured 3 different tumoroids with 0.5%, 0.8%, and 1.5% agarose concentrations and calculated the growth rate of the tumoroids with their images acquired at 9 imaging time points by mini-Opto tomography imaging system applying image processing techniques. We used the metrics contrast-to-noise ratio (CNR), peak signal-to-noise ratio (PSNR), and mean squared error (MSE) to analyze the distinguishability of the tumoroid structure from its surroundings, quantitatively. Additionally, we calculated the increase of the radius, the perimeter, and the area of 3 tumoroids over a time period. Results In the quantitative assessment, the bilateral and Gaussian filters gave the highest CNR values (ie, Gaussian filter: at each of 9 imaging time points in range of 1.715 to 15.142 for image set-1). The median filter gave the highest values in PSNR in the range of 43.108 to 47.904 for image set-2 and gave the lowest values in MSE in the range of 0.604 to 2.599 for image set-3. The areas of tumoroids with 0.5%, 0.8%, and 1.5% agarose concentrations were 1.014 mm(2), 1.047 mm(2), and 0.530 mm(2) in the imaging time point-1 and 33.535 mm(2), 4.538 mm(2), and 2.017 mm(2) in the imaging time point-9. The tumoroids with 0.5%, 0.8%, and 1.5% agarose concentrations grew up to times of 33.07, 4.33, and 3.80 in area size over this period, respectively. Conclusions The growth rate and the widest borders of the different tumoroids in a time interval could be detected automatically and successfully. This study that combines the image processing techniques with mini-Opto tomography imaging system ensured significant results in observing the tumoroid's growth rate and enlarging border over time, which is very critical to provide an emerging methodology in vitro cancer studies.
dc.identifier.doi10.1177/15330338231164267
dc.identifier.issn1533-0346
dc.identifier.issn1533-0338
dc.identifier.pmid37098686
dc.identifier.scopus2-s2.0-85153711396
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1177/15330338231164267
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2004
dc.identifier.volume22
dc.identifier.wosWOS:000976269900001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSage Publications Inc
dc.relation.ispartofTechnology in Cancer Research & Treatment
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectcancer cells
dc.subjectimage processing techniques
dc.subjectimage segmentation
dc.subjectpancreatic cancer
dc.subjecttumoroid
dc.subjecttumors
dc.subjectMIA PaCa-2 cells
dc.subjectmini-Opto tomography
dc.titleTracing 2D Growth of Pancreatic Tumoroids Using the Combination of Image Processing Techniques and Mini-Opto Tomography Imaging System
dc.typeArticle

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