Darina Roitshtain

Quantitative phase microscopy of cells in flow using flipping interferometry (Conference Presentation)

Bahram Javidi, Natan T. Shaked, Nir A. Turko, 2017, BiOS.

Dynamic measurements of flowing cells labeled by gold nanoparticles using full-field photothermal interferometric imaging

Björn Kemper, Natan T Shaked, Darina Roitshtain, 2017, Journal of biomedical optics.

TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set

Natan T. Shaked, Raja Giryes, Itay Barnea, 2018, ArXiv.

PhUn-Net: ready-to-use neural network for unwrapping quantitative phase images of biological cells.

Natan T. Shaked, Gili Dardikman-Yoffe, Simcha K. Mirsky, 2020, Biomedical optics express.

Quantitative Phase Maps of Live Cells Classified By Transfer Learning and Generative Adversarial Network (GAN)

Natan T. Shaked, Raja Giryes, Darina Roitshtain, 2018 .

Analyzing the texture changes in the quantitative phase maps of adipocytes

Natan T. Shaked, Amit Gefen, Orna Sharabani-Yosef, 2016, SPIE BiOS.

Deep learning analysis on raw image data: case study on holographic cell analysis

Hayit Greenspan, Natan T. Shaked, Darina Roitshtain, 2021, Medical Imaging.

Flipping interferometry and its application for quantitative phase microscopy in a micro-channel.

Bahram Javidi, Natan T Shaked, Darina Roitshtain, 2016, Optics letters.