Cryo-soft X-ray tomography: using soft X-rays to explore the ultrastructure of whole cells

M Harkiolaki, MC Darrow, MC Spink… - Emerging topics in …, 2018 - portlandpress.com
Cryo-soft X-ray tomography is an imaging technique that addresses the need for mesoscale
imaging of cellular ultrastructure of relatively thick samples without the need for staining or …

[HTML][HTML] Soft X‐ray tomograms provide a structural basis for whole‐cell modeling

V Loconte, JH Chen, B Vanslembrouck… - The FASEB …, 2023 - ncbi.nlm.nih.gov
Developing in silico models that accurately reflect a whole, functional cell is an ongoing
challenge in biology. Current efforts bring together mathematical models, probabilistic …

A deep convolutional neural network for classification of red blood cells in sickle cell anemia

M Xu, DP Papageorgiou, SZ Abidi, M Dao… - PLoS computational …, 2017 - journals.plos.org
Sickle cell disease (SCD) is a hematological disorder leading to blood vessel occlusion
accompanied by painful episodes and even death. Red blood cells (RBCs) of SCD patients …

[图书][B] Microcomputed tomography: methodology and applications

SR Stock - 2019 - taylorfrancis.com
MicroComputed Tomography has become the gold standard for studying 3D microscopic
structures nondestructively, and this book provides up-to-date coverage of the modality. The …

Using soft X-ray tomography for rapid whole-cell quantitative imaging of SARS-CoV-2-infected cells

V Loconte, JH Chen, M Cortese, A Ekman… - Cell reports …, 2021 - cell.com
High-resolution and rapid imaging of host cell ultrastructure can generate insights toward
viral disease mechanism, for example for a severe acute respiratory syndrome coronavirus …

[HTML][HTML] The sphingosine kinase 2 inhibitors ABC294640 and K145 elevate (dihydro) sphingosine 1-phosphate levels in various cells

A Prell, D Wigger, A Huwiler, F Schumacher… - Journal of Lipid …, 2024 - Elsevier
Sphingosine kinases (SphKs), enzymes that produce the bioactive lipids
dihydrosphingosine 1-phosphate (dhS1P) and sphingosine 1-phosphate (S1P), are …

Classification of red blood cells in sickle cell anemia using deep convolutional neural network

L Alzubaidi, O Al-Shamma, MA Fadhel… - … Systems Design and …, 2020 - Springer
Sickle cell anemia is an abnormal red blood cell which leads to blood vessel obstruction
joined by painful episodes and even death. It is also called abnormal hemoglobin …

Heterogeneity of red blood cells: causes and consequences

A Bogdanova, L Kaestner, G Simionato… - Frontiers in …, 2020 - frontiersin.org
Mean values of hematological parameters are currently used in the clinical laboratory
settings to characterize red blood cell properties. Those include red blood cell indices …

Imaging cell morphology and physiology using X-rays

V Weinhardt, JH Chen, A Ekman… - Biochemical Society …, 2019 - portlandpress.com
Morphometric measurements, such as quantifying cell shape, characterizing sub-cellular
organization, and probing cell–cell interactions, are fundamental in cell biology and clinical …

Smartphone-based sickle cell disease detection and monitoring for point-of-care settings

S Ilyas, M Sher, E Du, W Asghar - Biosensors and Bioelectronics, 2020 - Elsevier
Sickle cell disease (SCD) is a worldwide hematological disorder causing painful episodes,
anemia, organ damage, stroke, and even deaths. It is more common in sub-Saharan Africa …