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.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
MedicalSystem

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Parallel Impedance Cytometry Screens Bacterial Cells in Real Time

By LabMedica International staff writers
Posted on 25 Oct 2022
Print article
Image: Schematic of the intelligent impedance system, consisting of a parallel impedance cytometry and a machine learning-based detection system (Photo courtesy of Yaxiaer Yalikun, PhD)
Image: Schematic of the intelligent impedance system, consisting of a parallel impedance cytometry and a machine learning-based detection system (Photo courtesy of Yaxiaer Yalikun, PhD)

Antibiotic-resistant infections are responsible for killing over a million people worldwide every year. Central to managing resistant infections is quickly identifying an appropriate treatment to which the infective bacteria are susceptible. Significant time is needed to determine the drug susceptibility profile of a bacterial infection.

Impedance cytometry measures the dielectric properties of individual cells with high throughput, over a thousand cells per minute. Because the electrical readout of a bacterium corresponds to its physical response to an antibiotic, one has a straightforward means of determining whether the antibiotic works against the bacteria.

Scientists at the Nara Institute of Science and Technology (Ikoma, Japan) developed a novel impedance cytometry method that simultaneously analyses the test and reference particles in separate channels, creating easily analyzable separate datasets. This cytometry had nanoscale sensitivity, allowing for detection of even minute physical changes in bacterial cells. The group designed a machine learning tool to analyze the impedance cytometry data. Because the new cytometry method splits the test and reference datasets, the machine learning tool could automatically label the reference dataset as the “learning” dataset and use it to learn the characteristics of an untreated bacterium. By real-time comparison with antibiotic-treated cells, the tool can identify whether the bacteria are susceptible to the drug and can even identify what proportion of bacterial cells are resistant in a mixed-resistance population.

Target objects can be detected even when benchmarked against similar objects. Parallel dual microchannels allow the simultaneous detection of reference and target particles in two separate microchannels, without the premixing of reference and target suspensions. The impedance pulses of both can appear separately on the opposite sides of the same time series, which have been verified via simulation and experimental results. Raw impedance signals can easily distinguish target particles from reference ones. Polystyrene beads with different sizes ranging from nano- to microscale (e.g., 500, 750 nm, 1, 2, 3, and 4.5 μm) confirm the nanosensitivity of the system. In addition, the detection of antibiotic-treated Escherichia coli cells demonstrates that the system can be used for the quantitative assessment of the dielectric properties of individual cells, as well as for the proportion of susceptible cells.

Yoichiroh Hosokawa, PhD, an Assistant Professor and a senior author of the study, said, “Although there was a misidentification error of less than 10% in our work, there was a clear discrimination between susceptible and resistant cells within two hours of antibiotic treatment.”

The authors concluded that their findings indicate that the parallel impedance cytometry can greatly facilitate the measurement and calibration of the impedances of various particles or cells and provide a means to compare their dielectric properties. The study was published on October 6, 2022 in the journal ACS Sensors.

Related Links:
Nara Institute of Science and Technology

Platinum Supplier
Hormonal Test
Endocrine Array
New
Benchtop Coagulation Analyzer
Ci300
New
Lyophilizer
FD150
New
POC Analyzer
abioSCOPE

Print article
SUGENTECH INC.

Channels

Clinical Chem.

view channel
Image: Equivalence of Genetically Elevated LDL and Lipoprotein(a) on Myocardial Infarction (Photo courtesy of Viborg Regional Hospital)

Familial Hypercholesterolemia Patients With ACD Have Elevated Lipoprotein(a)

Familial hypercholesterolemia (FH) is a genetic disorder characterized by high cholesterol levels, specifically very high levels of low-density lipoprotein (LDL cholesterol), in the blood and early cardiovascular... Read more

Molecular Diagnostics

view channel
Image: A cheap blood test could improve diagnosis of myocarditis (Photo courtesy of Queen Mary University of London)

First-Ever Blood Test Could Detect Deadly Heart Inflammation Within Hours

Myocarditis, or inflammation of the heart muscle, is a difficult condition to diagnose. Symptoms include a temperature, fatigue, chest pain and shortness of breath, which can all be easily mistaken for... Read more

Microbiology

view channel
Image: Ring-form trophozoites of Plasmodium vivax in a thin blood smear (Photo courtesy of Centers for Disease Control and Prevention)

Immune Regulators Predict Severity of Plasmodium vivax Malaria

Cytokines and chemokines are immune response molecules that display diverse functions, such as inflammation and immune regulation. In Plasmodium vivax infections, the uncontrolled production of these molecules... Read more

Pathology

view channel
Image: Breast cancer spread uncovered by new molecular microscopy (Photo courtesy of Wellcome Sanger Institute)

New Molecular Microscopy Tool Uncovers Breast Cancer Spread

Breast cancer commonly starts when cells start to grow uncontrollably, often due to mutations in the cells. Overtime the tumor becomes a patchwork of cells, called cancer clones, each with different mutations.... Read more

Industry

view channel
Image: With Cell IDx’s acquisition, Leica Biosystems will be moving its multiplexing menu forward (Photo courtesy of Leica Biosystems)

Leica Biosystems Acquires Cell IDx, Expanding Offerings in Multiplexed Tissue Profiling

Leica Biosystems, a technology leader in automated staining and brightfield and fluorescent imaging (Nussloch, Germany), has acquired Cell IDx, Inc. (San Diego, CA, USA), which provides multiplex staining... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.