We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Smart Phone Reader Detects Common Pathogens

By LabMedica International staff writers
Posted on 10 May 2018
Image: The low-cost, portable laboratory on a phone that can interpret results from a microplate assay (Photo courtesy of Washington State University).
Image: The low-cost, portable laboratory on a phone that can interpret results from a microplate assay (Photo courtesy of Washington State University).
In rural or low resource areas, doctors sometimes must rely on a patient's symptoms or use their own judgement in looking at test sample color results to determine whether a patient has an infection.

A low-cost, portable laboratory on a phone has been developed that works nearly as well as clinical laboratories to detect common viral and bacterial infections. The work could lead to faster and lower-cost laboratory results for fast-moving viral and bacterial epidemics.

Bioengineers at Washington State University (Pullman, WA, USA) and their colleagues developed an ultra-low-cost clinically accurate mobile phone microplate reader (mReader), and clinically validated this optical device for 12 infectious disease tests. The mReader optically reads 96 samples on a microplate at one time. The team tested 771 de-identified patient samples for 12 serology assays for bacterial/viral infections. The mReader and the clinical instrument blindly read and analyzed all tests in parallel.

The scientists evaluated the analytical accuracy and the diagnostic performance of the mReader across the clinical reportable categories by comparison with clinical laboratorial testing results. The mReader exhibited 97.6% to 99.9% analytical accuracy and <5% coefficient of variation (CV). The positive percent agreement (PPA) in all 12 tests achieved 100%, negative percent agreement (NPA) was higher than 83% except for one test (42.9%), and overall percent agreement (OPA) ranged 89.3% to100%. The team was able to build the device for about USD 50, but the manufacturing cost would probably be lower than that.

The authors envision the mReader can benefit underserved areas/populations and low-resource settings in rural clinics/hospitals at a low cost with clinical-level analytical quality. It has the potential to improve health access, speed up healthcare delivery, and reduce health disparities and education disparities by providing access to a low-cost spectrophotometer. The study was published on March 23, 2018, in the journal Clinica Chimica Acta.

Related Links:
Washington State University

Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
Portable POCT Blood Gas Analyzer
BD100
Gold Member
Platelet Function Analyzer
PL-12

Channels

Clinical Chemistry

view channel
Image: Study design and workflow (Parankusham H, Vanderlip C, Birkenbihl C, et al. A two-stage plasma biomarker algorithm reduces amyloid PET use and the p-Tau217 gray zone. Annals of Clinical and Translational Neurology. Published online October 19, 2026. doi:10.1002/acn3.70560)

Two-Step Blood Testing Approach Reduces Uncertainty in Amyloid Assessment

Blood-based biomarkers offer a more accessible, less expensive way to detect Alzheimer’s-related brain changes than traditional methods such as amyloid-beta positron emission tomography (Aβ-PET).... Read more

Molecular Diagnostics

view channel
Image: Tumor DNA is extracted from a pathology sample, and normal DNA is extracted from the buffy coat. Both samples undergo WGS to generate the patient-specific mutational signature. At each follow-up, ctDNA extracted from plasma undergoes WGS and is analyzed using a patient-derived signature and an artificial intelligence (AI) pattern recognition algorithm. FFPE: formalin fixed, paraffin embedded. (Snuderl M, Smadbeck J, Wilkins R, et al. The Journal of Molecular Diagnostics, 2026. DOI: 10.1016/j.jmoldx.2026.07.003)

Liquid Biopsy Detects Lung Cancer Recurrence Signals Months Before Imaging

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer and remains a major cause of cancer-related death. Early-stage tumors are often treated surgically, but recurrence can still occur... Read more

Immunology

view channel
Image Credit: iStock

Antibody Profiling Predicts Inflammatory Bowel Disease Years Before Diagnosis

Inflammatory bowel disease (IBD), which includes Crohn’s disease and ulcerative colitis, involves abnormal immune responses that cause persistent inflammation and damage in the digestive system.... Read more

Pathology

view channel
Image: HETA Quality Control identifies slide quality issues before analysis, while HETA Tumor Detect annotates tumor regions and flags slides likely to contain tumor during scanning. (Photo courtesy of Aignostics)

AI Pathology Platform Targets Workflow Delays and Molecular Test Failures

Pathology laboratories often rely on visual review of tissue slides to assess quality, identify tumors, count mitoses, and estimate tumor content. These tasks can be time-consuming and vary between readers,... Read more

Industry

view channel
Image: The acquisition of Reveal Genomics would expand Hologic’s oncology diagnostics portfolio to support treatment decisions for more women with breast cancer.

Hologic to Broaden Breast Cancer Testing Portfolio Through Reveal Genomics Acquisition

Hologic (Marlborough, MA, USA) has signed a definitive agreement to acquire Reveal Genomics (Barcelona, Spain), a precision oncology company developing genomic diagnostic tests to help personalize cancer treatment.... Read more