Pediatric surgery international · 2026
Oesophageal tissue engineering: optimisation of stereotactic robotic cell injection in decellularised oesophageal scaffolds.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Yamada Koji, Perea Paizal Julia, Canovai Elena, Orens Casper, Marcoccio Ilaria, Durkin Natalie, Caciolli Lorenzo, Ieiri Satoshi, Eaton Simon, Mantero Sara, De Coppi Paolo, Pellegrini Marco
Аннотация
PURPOSE: Oesophageal substitution following atresia repair, caustic damage or cancer of the oesophagus can be challenging. We and others are working on engineering oesophageal tissue using a combination of decellularised oesophagi and cell injection. So far this has been achieved using highly operator-dependent techniques. This study aimed to establish a reproducible method for cell delivery into scaffolds.
METHODS: To improve consistency, a stereotaxic robotic platform was adapted to deliver a suspension of porcine gelatin and cells in a 1:1 ratio. The scaffold was mounted on a 3D-printed rod linked to a stepper motor, enabling automated 36° rotation for circumferential coverage. Two circumferential rows, each rotated 36°, with 3 - 2 points at 3-mm intervals, ensured even seeding. Injection depth was calibrated to target the inner layer.
RESULTS: Cells injected robotically remained viable, with no significant difference from manual injection. Post-injection analyses confirmed cell viability and distribution within the scaffold.
CONCLUSION: Automated robotic injection provides a reliable, reproducible alternative to manual methods, reducing operator bias.
METHODS: To improve consistency, a stereotaxic robotic platform was adapted to deliver a suspension of porcine gelatin and cells in a 1:1 ratio. The scaffold was mounted on a 3D-printed rod linked to a stepper motor, enabling automated 36° rotation for circumferential coverage. Two circumferential rows, each rotated 36°, with 3 - 2 points at 3-mm intervals, ensured even seeding. Injection depth was calibrated to target the inner layer.
RESULTS: Cells injected robotically remained viable, with no significant difference from manual injection. Post-injection analyses confirmed cell viability and distribution within the scaffold.
CONCLUSION: Automated robotic injection provides a reliable, reproducible alternative to manual methods, reducing operator bias.