---
res:
  bibo_abstract:
  - 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.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Anna
      foaf_name: Zavadakova, Anna
      foaf_surname: Zavadakova
  - foaf_Person:
      foaf_givenName: Lucie
      foaf_name: Vistejnova, Lucie
      foaf_surname: Vistejnova
  - foaf_Person:
      foaf_givenName: Tereza
      foaf_name: Belinova, Tereza
      foaf_surname: Belinova
      foaf_workInfoHomepage: http://www.librecat.org/personId=0bf89b6a-d28b-11eb-8bd6-f43768e4d368
  - foaf_Person:
      foaf_givenName: Filip
      foaf_name: Tichanek, Filip
      foaf_surname: Tichanek
  - foaf_Person:
      foaf_givenName: Dagmar
      foaf_name: Bilikova, Dagmar
      foaf_surname: Bilikova
  - foaf_Person:
      foaf_givenName: Peter R.
      foaf_name: Mouton, Peter R.
      foaf_surname: Mouton
  bibo_doi: 10.1038/s41598-023-35162-z
  bibo_issue: '1'
  bibo_volume: 13
  dct_date: 2023^xs_gYear
  dct_identifier:
  - UT:000995271600104
  dct_isPartOf:
  - http://id.crossref.org/issn/2045-2322
  dct_language: eng
  dct_publisher: Springer Nature@
  dct_subject:
  - Multidisciplinary
  dct_title: Novel stereological method for estimation of cell counts in 3D collagen
    scaffolds@
  fabio_hasPubmedId: '37198326'
...