| dc.contributor.author |
Aires-Lopes, Beatriz |
|
| dc.contributor.author |
Leite, Guilherme Vieira |
|
| dc.contributor.author |
Ferreira-Halder, Carmen Veríssima |
|
| dc.contributor.author |
Pedrini, Hélio |
|
| dc.date |
2025-07-25 |
|
| dc.date.accessioned |
2025-05-14 |
|
| dc.date.accessioned |
2025-07-27T01:11:44Z |
|
| dc.date.available |
2025-07-27T01:11:44Z |
|
| dc.identifier.uri |
https://doi.org/10.25824/redu/G2N3VM |
|
| dc.identifier.uri |
https://redu.unicamp.br/dataset.xhtml?persistentId=doi:10.25824/redu/G2N3VM |
|
| dc.description |
This Python code does high-throughput automatic area measurement and statistical analysis of cancer spheroid cell cultures from 2D images. |
|
| dc.description.sponsorship |
Fundação de Amparo à Pesquisa do Estado de São Paulo |
|
| dc.description.sponsorship |
Fundação de Amparo à Pesquisa do Estado de São Paulo |
|
| dc.publisher |
Vieira Leite, Guilherme |
|
| dc.subject |
Computer and Information Science |
|
| dc.subject |
Medicine, Health and Life Sciences |
|
| dc.title |
SpheroTracker source code |
|
| dc.description.sponsorshipId |
FAPESP: 2022/15626-1 |
|
| dc.description.sponsorshipId |
FAPESP: 2024/05180-1 |
|