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 hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Soft X-Ray Tomography 3D Scans Show How Cells Respond to SARS-CoV-2 Infection and to Possible Treatments

By MedImaging International staff writers
Posted on 28 Feb 2022
Print article
Image: Digital images of cells infected with SARS-CoV-2 created from soft X-ray tomography (Photo courtesy of Berkeley Lab)
Image: Digital images of cells infected with SARS-CoV-2 created from soft X-ray tomography (Photo courtesy of Berkeley Lab)

An extremely fast new 3D imaging method can show how cells respond to SARS-CoV-2 infection and to possible treatments.

Researchers from Berkeley Lab (Berkeley, CA, USA) and Heidelberg University (Heidelberg, Germany) have cranked up the speed of imaging infected cells using soft X-ray tomography (SXT), a microscopic imaging technique that can generate incredibly detailed, three-dimensional scans. Their approach takes mere minutes to gather data that would require weeks of prep and analysis with other methods, giving scientists an easy way to quickly examine how our cells’ internal machinery responds to SARS-CoV-2, or other pathogens, as well as how the cells respond to drugs designed to treat the infection.

SXT was developed at Berkeley Lab in the early 2000s to fill in the gaps left by other cellular imaging techniques and is currently offered to investigators worldwide even as the researchers continue to refine the approach. As part of a study, the researchers performed SXT on human lung cell samples. The team carefully infected the cells with SARS-CoV-2 and then chemically fixed them with aldehyde-based compounds – a process that kills cells and preserves them, immobilized, in their last living state (and also inactivates any remaining viral particles) – at six and 24 hours post-infection.

The entire team was jubilant when the resulting 3D images had the same level of exquisite detail and clarity that SXT is known for, despite the chemical fixation done to the cells. The takeaway is that their approach will allow many labs to safely image infected cells without the inherent risks – and corresponding required safety protocols – of working with live infected cells. Upon conducting the tomography sessions and image analysis, the researchers were pleasantly surprised to see how SXT captured changes to different organelles within the lung cells at very high resolution after very little time spent on sample preparation and without use of stains or labeling. These additional steps are often needed to generate cell maps wherein the different internal components are easily distinguishable.

Now that they’ve demonstrated the potential of using whole-cell SXT to safely image virus-infected cells, the researchers believe that their findings will help the global scientific community study COVID-19 and potentially other diseases. The team is already putting the technique to good use and has begun using whole-cell SXT to examine how human cells respond to several experimental COVID-19-treating drugs. They hope the rapid turnaround for results will help expedite the drug development process, getting additional effective treatments on the market sooner. They also plan to use the technology to understand the progress of infections caused by other viral agents.

“Prior to our imaging technique, if one wanted to know what was going on inside a cell, and to learn what changes had occurred upon an infection, they'd have to go through the process of fixing, slicing, and staining the cells in order to analyze them by electron microscopy. With all the steps involved, it would take weeks to get the answer. We can do it in a day,” said project co-lead Carolyn Larabell, a Berkeley Lab faculty scientist in the Biosciences Area. “So, it really speeds up the process of examining cells, the consequences to infection, and the consequences of treating a patient with a drug that may or may not cure or prevent the disease.”

Related Links:
Berkeley Lab 
Heidelberg University 

New
MRI System
Ingenia Prodiva 1.5T CS
3T MRI Scanner
MAGNETOM Cima.X
Opaque X-Ray Mobile Lead Barrier
2594M
Radiation Therapy Treatment Software Application
Elekta ONE

Print article

Channels

Ultrasound

view channel
Image: The addition of POC ultrasound can enhance first trimester obstetrical care (Photo courtesy of 123RF)

POC Ultrasound Enhances Early Pregnancy Care and Cuts Emergency Visits

A new study has found that implementing point-of-care ultrasounds (POCUS) in clinics to assess the viability and gestational age of pregnancies in the first trimester improved care for pregnant patients... Read more

Nuclear Medicine

view channel
Image: PSMA-PET/CT images of an 85-year-old patient with hormone-sensitive prostate cancer (Photo courtesy of Dr. Adrien Holzgreve)

Advanced Imaging Reveals Hidden Metastases in High-Risk Prostate Cancer Patients

Prostate-specific membrane antigen–positron emission tomography (PSMA-PET) imaging has become an essential tool in transforming the way prostate cancer is staged. Using small amounts of radioactive “tracers,”... Read more

General/Advanced Imaging

view channel
Image: Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right) (Photo courtesy of Nature Machine Intelligence, 2024. DOI: 10.1038/s42256-024-00912-9)

Deep Learning Based Algorithms Improve Tumor Detection in PET/CT Scans

Imaging techniques are essential for cancer diagnosis, as accurately determining the location, size, and type of tumors is critical for selecting the appropriate treatment. The key imaging methods include... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.