@inproceedings{01931a7bc8e5494d829391aa13805211,
title = "Cell-sensitive microscopy imaging for cell image segmentation",
abstract = "We propose a novel cell segmentation approach by estimating a cell-sensitive camera response function based on variously exposed phase contrast microscopy images on the same cell dish. Using the cell-sensitive microscopy imaging, cells' original irradiance signals are restored from all exposures and the irradiance signals on non-cell background regions are restored as a uniform constant (i.e., the imaging system is sensitive to cells only but insensitive to non-cell background). Cell segmentation is then performed on the restored irradiance signals by simple thresholding. The experimental results validate that high quality cell segmentation can be achieved by our approach.",
author = "Zhaozheng Yin and Hang Su and Elmer Ker and Mingzhong Li and Haohan Li",
year = "2014",
doi = "10.1007/978-3-319-10404-1\_6",
language = "English",
isbn = "9783319104034",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "41--48",
booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings",
edition = "PART 1",
note = "17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 ; Conference date: 14-09-2014 Through 18-09-2014",
}