Hatice Ceylan Koydemir

Assistant Professor

Texas A&M University

United States

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About

Dr. Hatice Ceylan Koydemir is an Assistant Professor at Texas A&M University in the United States. Her research focuses on the development of innovative sensing technologies and point-of-care devices, with recent studies exploring topics such as biomarker detection and bacterial identification using advanced microscopy and machine learning techniques. Other areas of interest include transparent electrodes and their applications in health diagnostics, as well as the design of devices for monitoring microfluidic flow dynamics.

Articles (20)

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2025

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2020

Collaborators (4)

Alin Achim

University of Bristol

UNITED KINGDOM

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Kanwar Abhay Singh

Texas A&M University

UNITED STATES

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ANIRUDDHA RAY

University of Colorado Boulder

UNITED STATES

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Nir Pillar

University of California, Los Angeles

UNITED STATES

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Hatice Ceylan Koydemir

Research Interests

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About

Articles (20)

An integrated wearable fluorescence sensor for E. coli detection in catheter bags

A Hydrophilic Hollow Microneedle Platform for Sampling Interstitial Fluid and On‐Site Biomarker Detection

Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning

Atomic vacancies of molybdenum disulfide nanoparticles stimulate mitochondrial biogenesis

Recent Advances in Transparent Electrodes and Their Multimodal Sensing Applications

Digital monitoring of the microchannel filling flow dynamics using a non-contactless smartphone-based nano-liter precision flow velocity meter

Periodontal disease and emerging point-of-care technologies for its diagnosis

Systematic design and evaluation of aptamers for VEGF and PlGF biomarkers of Preeclampsia

Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning

Miniaturized wireless sensor enables real-time monitoring of food spoilage

Foldable low-cost point-of-care device for testing blood coagulation using smartphones

Optical point of care devices for diagnosis of urinary tract infections

A wearable paper-integrated microfluidic device for sequential analysis of sweat based on capillary action

Non-invasive biomedical sensors for early detection and monitoring of bacterial biofilm growth at the point of care

Smartphone-based sensors and imaging devices for global health

Phenotypic Analysis of Microalgae Populations Using Label-Free Imaging Flow Cytometry and Deep Learning

Mobile Diagnostic Devices for Digital Transformation in Personalized Healthcare

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

Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning

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

Collaborators (4)

Alin Achim

Kanwar Abhay Singh

ANIRUDDHA RAY

Nir Pillar

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