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This paper presents an analysis pipeline for automatically detecting cells in digitally reconstructed quantitative phase images acquired by digital holographic microscopy and for computing biophysical cell parameters. Using an intelligent, integrated image analysis approach, we optimize the overall analysis process which includes several time-consuming, manual steps. The proposed automatic approach shows promising results in an experimental comparison with the current manual evaluation process.

Automatic Computation of Biophysical Cell Parameters in Digital Holographic Microscopy Images