Note: This study found no significant biological effects under its experimental conditions. We include all studies for scientific completeness.
Effects of Electromagnetic Fields on Automated Blood Cell Measurements.
Vagdatli E, Konstandinidou V, Adrianakis N, Tsikopoulos I, Tsikopoulos A, Mitsopoulou K. · 2014
View Original AbstractMultiple cell phones and laptops can cause blood testing equipment to malfunction and produce inaccurate results.
Plain English Summary
Researchers tested whether cell phones and laptops interfere with automated blood testing equipment used in medical labs. They found that multiple devices (especially four phones together) caused the blood analyzer to produce incorrect cell counts, and when seven devices operated simultaneously, the machine gave bizarre results and eventually stopped working. This matters because inaccurate blood tests could lead to misdiagnosis or unnecessary medical procedures.
Study Details
The aim of this study is to investigate whether the electromagnetic fields associated with mobile phones and/or laptops interfere with blood cell counts of hematology analyzer
Random blood samples were analyzed on an Aperture Impedance hematology analyzer. The analysis was pe...
The results obtained demonstrated a statistically significant decrease in neutrophil, erythrocyte, a...
Show BibTeX
@article{e_2014_effects_of_electromagnetic_fields_3460,
author = {Vagdatli E and Konstandinidou V and Adrianakis N and Tsikopoulos I and Tsikopoulos A and Mitsopoulou K.},
title = {Effects of Electromagnetic Fields on Automated Blood Cell Measurements.},
year = {2014},
url = {https://pubmed.ncbi.nlm.nih.gov/24464815/#:~:text=The%20results%20obtained%20demonstrated%20a,notably%20in%20the%20B4%20group.},
}Cited By (4 papers)
- Effects of mobile phone radiation on certain hematological parameters
Bindhu Christopher et al. (2020) - 20 citations
- The HL-60 human promyelocytic cell line constitutes an effective in vitro model for evaluating toxicity, oxidative stress and necrosis/apoptosis after exposure to black carbon particles and 2.45 GHz radio frequency.
Rosa Ana Sueiro Benavides et al. (2023) - 13 citations
- Radiofrequency Interference in the Clinical Laboratory
Nima D. Badizadegan et al. (2019) - 7 citations