Publications

Diverse R-PPG: Camera-Based Heart Rate Estimation for Diverse Subject Skin-Tones and Scenes

Published in arXiv preprint, 2020

We present a novel physics-driven algorithm that boosts r-PPG performance on darker skin tones in our reported data.

Recommended citation: P. Chari, K. Kabra, D. Karinca, S. Lahiri, D. Srivastava, K. Kulkarni, T. Chen, M. Cannesson, L. Jalilian, A. Kadambi, "Diverse R-PPG: Camera-Based Heart Rate Estimation for Diverse Subject Skin-Tones and Scenes," arXiv:2010.12769 (December 9, 2020) https://arxiv.org/abs/2010.12769

Sensing of electrolytes in urine using a miniaturized paper-based device

Published in Scientific Reports, 2020

Here, we report a paper-based sensor for measuring the concentration of sodium, potassium, calcium, chloride, and nitrite in urine, accurately quantified using a smartphone-enabled platform.

Recommended citation: F. Ghaderinezhad, H.C. Koydemir, D. Tseng, D. Karinca, K. Liang, A. Ozcan, and S. Tasoglu, “Sensing of electrolytes in urine using a miniaturized paper-based device,” Scientific Reports DOI: 10.1038/s41598-020-70456-6 (August 12, 2020) https://doi.org/10.1038/s41598-020-70456-6

Automated screening of sickle cells using a smartphone-based microscope and deep learning

Published in npj Digital Medicine, 2020

Here, we present a deep learning framework which can perform automatic screening of sickle cells in blood smears using a smartphone microscope.

Recommended citation: K. de Haan, H.C. Koydemir, Y. Rivenson, D. Tseng, E. Van Dyne, L.S. Bakic, D. Karinca, K. Liang, M. Ilango, E. Gumustekin, and A. Ozcan, “Automated screening of sickle cells using a smartphone-based microscope and deep learning,” npj Digital Medicine DOI: 10.1038/s41746- 020-0282-y (May 22, 2020) https://www.nature.com/articles/s41746-020-0282-y

Smartphone-based turbidity reader

Published in Scientific Reports, 2019

Here we present a field-portable and cost effective turbidimeter that is based on a smartphone.

Recommended citation: H.C. Koydemir, S. Rajpal, E. Gumustekin, D. Karinca, K. Liang, Z. Gorocs, D. Tseng, and A. Ozcan, “Smartphone-based turbidity reader,” Scientific Reports DOI: 10.1038/s41598-019- 56474-z (December 27, 2019) http://www.nature.com/articles/s41598-019-56474-z

Rapid imaging, detection, and quantification of Nosema ceranae spores in honey bees using mobile phone-based fluorescence microscopy

Published in Scientific Reports, 2019

Here we present a field-portable and cost-effective smartphone-based platform for detection and quantification of chitin-positive Nosema spores in honey bees.

Recommended citation: Snow, Jonathan W., Hatice Ceylan Koydemir, Doruk Kerim Karinca, Kyle Liangus, Derek Tseng, and Aydogan Ozcan. "Rapid imaging, detection, and quantification of Nosema ceranae spores in honey bees using mobile phone-based fluorescence microscopy." Lab on a Chip, January 28, 2019, https://pubs.rsc.org/en/content/articlelanding/2019/lc/c8lc01342j