# keywords[]
5102 Atomic, Molecular And Optical Physics

# keywords[]
4.1 Discovery And Preclinical Testing Of Markers And Technologies

# keywords[]
4.1 Discovery And Preclinical Testing Of Markers And Technologies

# keywords[]
5102 Atomic, Molecular And Optical Physics

# keywords[]
4.1 Discovery And Preclinical Testing Of Markers And Technologies

# keywords[]
Networking And Information Technology R&d

# keywords[]
4.2 Evaluation Of Markers And Technologies

# keywords[]
5102 Atomic, Molecular And Optical Physics

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
4009 Electronics, Sensors And Digital Hardware

# keywords[]
5102 Atomic, Molecular And Optical Physics

# keywords[]
4009 Electronics, Sensors And Digital Hardware

# keywords[]
5102 Atomic, Molecular And Optical Physics

# educationAndTraining[].organization.label
Middle East Technical University - (Ankara, Ankara, Turkey)

# educationAndTraining[].organization.label
Middle East Technical University - (Ankara, Ankara, Turkey)

# educationAndTraining[].organization.label
Middle East Technical University - (Ankara, Ankara, Turkey)

# educationAndTraining[].field
Environmental Engineering, Minor in Food Engineering

# publications[].label
Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope.

# publications[].label
Automated screening of sickle cells using a smartphone-based microscope and deep learning.

# publications[].label
Deep Learning Enhances Mobile Microscopy

# publications[].label
Computational cytometer based on magnetically modulated coherent imaging and deep learning.

# publications[].label
Deep Learning-Enabled Detection and Classification of Bacterial Colonies Using a Thin-Film Transistor (TFT) Image Sensor

# publications[].label
Smartphone-imaged microfluidic biochip for measuring CD64 expression from whole blood.

# publications[].label
Rapid imaging, detection, and quantification of Nosema ceranae spores in honey bees using mobile phone-based fluorescence microscopy.

# publications[].label
Device and method for motility-based label-free detection of motile objects in a fluid sample

# publications[].label
Method and device for quantification of plant chlorophyll content

# publications[].label
Mobile Microscope for Quantitative Fluorescence Sensing Through Highly Autofluorescent and Scattering Media

# publications[].label
Systems and methods for the early detection and classification of live microorganisms using time-lapse coherent imaging and deep learning

# publications[].label
A Fully Microfabricated Electrochemical Sensor and its Implementation for Detection of Methicillin Resistance in Staphylococcus aureus

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Rapid imaging, detection and quantification of Giardia lamblia cysts using mobile-phone based fluorescent microscopy and machine learning.

# publications[].label
A Hydrophilic Hollow Microneedle Platform for Sampling Interstitial Fluid and OnSite Biomarker Detection

# publications[].label
A survey of supervised machine learning models for mobile-phone based pathogen identification and classification

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Early identification of live bacteria in water samples using time-lapse holographic imaging and deep learning

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Quantitative Fluorescence Sensing Through Highly Autofluorescent, Scattering, and Absorbing Media Using Mobile Microscopy.

# publications[].label
Deep Learning-enabled Detection and Classification of Bacterial Colonies  using a Thin Film Transistor (TFT) Image Sensor

# publications[].label
Early detection and classification of bacterial colonies using a Thin-Film-Transistor (TFT)-based image sensor and deep learning

# publications[].label
Screening of sickle cell disease using a smartphone-based microscope and deep-learning

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning.

# publications[].label
Microplastics retained in stormwater control measures: Where do they come from and where do they go?

# publications[].label
Non-invasive biomedical sensors for early detection and monitoring of bacterial biofilm growth at the point of care.

# publications[].label
Optical point of care devices for diagnosis of urinary tract infections

# publications[].label
Stain-free, rapid, and quantitative viral plaque assay using deep  learning and holography

# publications[].label
Miniaturized wireless sensor enables real-time monitoring of food spoilage.

# publications[].label
Solvent Compatibility of Parylene C Film Layer

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Design and validation of a wide-field mobile phone microscope for the diagnosis of schistosomiasis.

# publications[].label
Field portable mobile phone based fluorescence microscopy for detection of Giardia lamblia cysts in water samples

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Dielectric Characterization of Imatinib Resistant K562 Leukemia Cells through Electrorotation with 3-D Electrodes

# publications[].label
Smartphones Democratize Advanced Biomedical Instruments and Foster Innovation.

# publications[].label
Stain-free, rapid, and quantitative viral plaque assay using deep learning and time-lapse holographic imaging (Conference Presentation)

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Deep Learning Enhanced Mobile-Phone Microscopy

# publications[].label
Mobile phones create new opportunities for microbiology research and clinical applications.

# publications[].label
Deep learning improves mobile-phone microscopy (Conference Presentation)

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Motility-based label-free detection of parasites in bodily fluids using holographic speckle analysis and deep learning.

# publications[].label
Mobility of polypropylene microplastics in stormwater biofilters under freeze-thaw cycles

# publications[].label
Sensing of electrolytes in urine using a miniaturized paper-based device.

# publications[].label
Early detection of E. coli and total coliform using an automated, colorimetric and fluorometric fiber optics-based device.

# publications[].label
Bioinspired skin-like in vitro model for investigating catheter-related bloodstream infections.

# publications[].label
An integrated wearable fluorescence sensor for E. coli detection in catheter bags.

# publications[].label
Deep Learning-enabled Coherent Imaging Achieves Early Detection and Classification of Bacteria in Water Samples

# publications[].label
MEMS biosensors for detection of methicillin resistant Staphylococcus aureus.

# publications[].label
Deep Learning-enabled Holographic Imaging Flow-Cytometry for Label-Free Detection of Giardia Lamblia in Water Samples

# publications[].label
Atomic vacancies of molybdenum disulfide nanoparticles stimulate mitochondrial biogenesis.

# publications[].label
Automated Detection and Enumeration of Waterborne Pathogens Using Mobile Phone Microscopy and Machine Learning

# publications[].label
Periodontal disease and emerging point-of-care technologies for its diagnosis.

# publications[].label
Early detection of e. coli and total coliform using an automated, colorimetric and fluorometric fiber optics-based device

# publications[].label
Label-free imaging flow cytometry for phenotypic analysis of microalgae populations using deep learning

# publications[].label
Dielectric Characterization of Imatinib Resistant K562 Leukemia Cells through Electrorotation with 3-D Electrodes

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Smartphone-based sensors and imaging devices for global health

# publications[].label
Quantification of plant chlorophyll content using Google Glass.

# publications[].label
Comparison of supervised machine learning algorithms for waterborne pathogen detection using mobile phone fluorescence microscopy

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Effects of Solvents on Dissolution of Photoresist in Parylene Microchannels

# publications[].label
A wearable paper-integrated microfluidic device for sequential analysis of sweat based on capillary action

# publications[].label
Label-free detection of Giardia lamblia cysts in water samples using a field-portable imaging flow cytometer and deep learning

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Amphiphilic particle-stabilized nanoliter droplet reactors with a multi-modal portable reader for distributive biomarker quantification

# publications[].label
Recent Advances in Transparent Electrodes and Their Multimodal Sensing Applications.

# publications[].label
Label-free analysis of micro-algae populations using a high-throughput holographic imaging flow cytometer and deep learning

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Digital monitoring of the microchannel filling flow dynamics using a non-contactless smartphone-based nano-liter precision flow velocity meter.

# publications[].label
Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer.

# publications[].label
Mobile Diagnostic Devices for Digital Transformation in Personalized Healthcare.

# publications[].label
Foldable low-cost point-of-care device for testing blood coagulation using smartphones.

# publications[].label
Deep learning enhanced mobile-phone microscopy

# publications[].label
Phenotypic Analysis of Microalgae Populations Using Label-Free Imaging Flow Cytometry and Deep Learning

# publications[].label
Field quantification of plant chlorophyll content using Google Glass

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples.

# publications[].label
Systematic design and evaluation of aptamers for VEGF and PlGF biomarkers of Preeclampsia.

# publications[].label
IRapid and sensitive detection of waterborne pathogens using machine learning on a smartphone based fluorescence microscope (Conference Presentation)

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Compact imaging system for quantitative fluorescence sensing through autofluorescent, scattering and absorbing media (Conference Presentation)

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Wearable and Implantable Sensors for Biomedical Applications.

# publications[].label
Field-testing of a cost-effective mobile-phone based microscope for screening of Schistosoma haematobium infection (Conference Presentation)

# publications[].publisher
SPIE, the international society for optics and photonics

# publications[].label
Label-Free Bioaerosol Sensing Using Mobile Microscopy and Deep Learning

# publications[].label
Evaluation of a Mobile Phone-Based Microscope for Screening of Schistosoma haematobium Infection in Rural Ghana.

# publications[].publisher
American Society of Tropical Medicine and Hygiene

# publications[].label
Rapid detection and classification of bacterial colonies using a thin film transistor (TFT) image sensor and deep learning (Conference Presentation)

# publications[].publisher
SPIE, the international society for optics and photonics

# inTheNews[].label
AI-based cytometer detects rare cells in blood using magnetic modulation and deep learning

# inTheNews[].label
UCLA researchers develop prototype to more efficiently detect rare cells in blood

# inTheNews[].label
Deep learning enables early detection and classification of live bacteria using holography

# inTheNews[].label
Mobile-phone microscope detects the 'silent killer' of honey bees

# inTheNews[].label
UCLA researchers develop smartphone-based microscope to detect lethal bee parasites

# websites[].label
Integrated Biomedical Sensing and Imaging Laboratory