{"publication_status":"published","year":"2023","license":"https://creativecommons.org/licenses/by/4.0/","issue":"1","date_updated":"2023-08-01T14:46:06Z","article_processing_charge":"No","oa":1,"type":"journal_article","external_id":{"isi":["000995271600104"]},"scopus_import":"1","author":[{"first_name":"Anna","full_name":"Zavadakova, Anna","last_name":"Zavadakova"},{"first_name":"Lucie","full_name":"Vistejnova, Lucie","last_name":"Vistejnova"},{"full_name":"Belinova, Tereza","last_name":"Belinova","id":"0bf89b6a-d28b-11eb-8bd6-f43768e4d368","first_name":"Tereza"},{"first_name":"Filip","full_name":"Tichanek, Filip","last_name":"Tichanek"},{"first_name":"Dagmar","full_name":"Bilikova, Dagmar","last_name":"Bilikova"},{"full_name":"Mouton, Peter R.","last_name":"Mouton","first_name":"Peter R."}],"file":[{"date_updated":"2023-05-22T07:57:37Z","checksum":"8c1b769693ff4288df8376e59ad1176d","access_level":"open_access","creator":"dernst","content_type":"application/pdf","file_size":3055077,"file_name":"2023_ScientificReports_Zavadakova.pdf","success":1,"date_created":"2023-05-22T07:57:37Z","file_id":"13047","relation":"main_file"}],"file_date_updated":"2023-05-22T07:57:37Z","_id":"13033","intvolume":" 13","article_number":"7959","article_type":"original","title":"Novel stereological method for estimation of cell counts in 3D collagen scaffolds","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_published":"2023-05-17T00:00:00Z","volume":13,"month":"05","date_created":"2023-05-19T11:12:25Z","doi":"10.1038/s41598-023-35162-z","oa_version":"Published Version","abstract":[{"lang":"eng","text":"Current methods for assessing cell proliferation in 3D scaffolds rely on changes in metabolic activity or total DNA, however, direct quantification of cell number in 3D scaffolds remains a challenge. To address this issue, we developed an unbiased stereology approach that uses systematic-random sampling and thin focal-plane optical sectioning of the scaffolds followed by estimation of total cell number (StereoCount). This approach was validated against an indirect method for measuring the total DNA (DNA content); and the Bürker counting chamber, the current reference method for quantifying cell number. We assessed the total cell number for cell seeding density (cells per unit volume) across four values and compared the methods in terms of accuracy, ease-of-use and time demands. The accuracy of StereoCount markedly outperformed the DNA content for cases with ~ 10,000 and ~ 125,000 cells/scaffold. For cases with ~ 250,000 and ~ 375,000 cells/scaffold both StereoCount and DNA content showed lower accuracy than the Bürker but did not differ from each other. In terms of ease-of-use, there was a strong advantage for the StereoCount due to output in terms of absolute cell numbers along with the possibility for an overview of cell distribution and future use of automation for high throughput analysis. Taking together, the StereoCount method is an efficient approach for direct cell quantification in 3D collagen scaffolds. Its major benefit is that automated StereoCount could accelerate research using 3D scaffolds focused on drug discovery for a wide variety of human diseases."}],"day":"17","publisher":"Springer Nature","acknowledgement":"The study was supported by Project No. CZ.02.1.01/0.0/0.0/16_019/0000787 “Fighting INfectious Diseases”, awarded by the MEYS CR, financed from EFRR, by the Cooperatio Program, research area DIAG and research area MED/DIAG, by the profiBONE project (TO01000309) benefitting from a € (1.433.000) grant from Iceland, Liechtenstein and Norway through the EEA Grants and the Technology Agency of the Czech Republic and by a Grant (#1926990) to PRM and SRC Biosciences from the National Science Foundation (U.S. Public Health Service). The authors acknowledge the invaluable assistance provided by Iveta Paurova via her support in terms of the provision of laboratory services.","isi":1,"ddc":["570"],"quality_controlled":"1","department":[{"_id":"Bio"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","has_accepted_license":"1","keyword":["Multidisciplinary"],"citation":{"mla":"Zavadakova, Anna, et al. “Novel Stereological Method for Estimation of Cell Counts in 3D Collagen Scaffolds.” Scientific Reports, vol. 13, no. 1, 7959, Springer Nature, 2023, doi:10.1038/s41598-023-35162-z.","ista":"Zavadakova A, Vistejnova L, Belinova T, Tichanek F, Bilikova D, Mouton PR. 2023. Novel stereological method for estimation of cell counts in 3D collagen scaffolds. Scientific Reports. 13(1), 7959.","apa":"Zavadakova, A., Vistejnova, L., Belinova, T., Tichanek, F., Bilikova, D., & Mouton, P. R. (2023). Novel stereological method for estimation of cell counts in 3D collagen scaffolds. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-023-35162-z","ieee":"A. Zavadakova, L. Vistejnova, T. Belinova, F. Tichanek, D. Bilikova, and P. R. Mouton, “Novel stereological method for estimation of cell counts in 3D collagen scaffolds,” Scientific Reports, vol. 13, no. 1. Springer Nature, 2023.","chicago":"Zavadakova, Anna, Lucie Vistejnova, Tereza Belinova, Filip Tichanek, Dagmar Bilikova, and Peter R. Mouton. “Novel Stereological Method for Estimation of Cell Counts in 3D Collagen Scaffolds.” Scientific Reports. Springer Nature, 2023. https://doi.org/10.1038/s41598-023-35162-z.","ama":"Zavadakova A, Vistejnova L, Belinova T, Tichanek F, Bilikova D, Mouton PR. Novel stereological method for estimation of cell counts in 3D collagen scaffolds. Scientific Reports. 2023;13(1). doi:10.1038/s41598-023-35162-z","short":"A. Zavadakova, L. Vistejnova, T. Belinova, F. Tichanek, D. Bilikova, P.R. Mouton, Scientific Reports 13 (2023)."},"status":"public","language":[{"iso":"eng"}],"publication":"Scientific Reports","related_material":{"link":[{"url":"https://doi.org/10.1038/s41598-023-37265-z","relation":"erratum"}]},"publication_identifier":{"issn":["2045-2322"]}}