⌕ Поиск по атласу

NIST · ИТ · 28b7e9e7b3da81e1caa0

28b7e9e7b3da81e1caa0 · Semi-supervised 3D Neural Networks to Track iPS Cell Division in Label-free Phase Contrast Time Series Images

Semi-supervised 3D Neural Networks to Track iPS Cell Division in Label-free Phase Contrast Time Series Images

In order to predict cell population behavior, it is important to understand the dynamic characteristics of individual cells. Individual induced pluripotent stem (iPS) cells in colonies have been difficult to track over long times, both because segmentation

Официальный источник · 2022-08-21

Полные импортированные сведения карточки
{
  "title_en": "Semi-supervised 3D Neural Networks to Track iPS Cell Division in Label-free Phase Contrast Time Series Images",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2022-08-21",
  "date_original": "August 21, 2022",
  "url": "https://www.nist.gov/publications/semi-supervised-3d-neural-networks-track-ips-cell-division-label-free-phase-contrast",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Adele Peskin , Joe Chalfoun , Michael Halter , Anne Plant",
  "abstract_excerpt_en": "In order to predict cell population behavior, it is important to understand the dynamic characteristics of individual cells. Individual induced pluripotent stem (iPS) cells in colonies have been difficult to track over long times, both because segmentation",
  "id": "28b7e9e7b3da81e1caa0",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Semi-supervised 3D Neural Networks to Track iPS Cell Division in Label-free Phase Contrast Time Series Images",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2022-08-21",
      "date_original": "August 21, 2022",
      "url": "https://www.nist.gov/publications/semi-supervised-3d-neural-networks-track-ips-cell-division-label-free-phase-contrast",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Adele Peskin , Joe Chalfoun , Michael Halter , Anne Plant",
      "abstract_excerpt_en": "In order to predict cell population behavior, it is important to understand the dynamic characteristics of individual cells. Individual induced pluripotent stem (iPS) cells in colonies have been difficult to track over long times, both because segmentation"
    }
  ],
  "translation_state": "none"
}