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In atomic-resolution imaging of solids, the sample surface is frequently tilted. This tilt causes the electron beam to traverse varying distances in the vacuum prior to entering the sample at different locations. This phenomenon markedly degrades image quality, especially over large fields of view in ptychography. To tackle this issue, adaptive free-path ptychography (AFP) is developed. This method is capable of decoupling the free path from the 4D data during the ptychographic reconstruction process. It enables the determination of the rumpling of 2D materials, the surface morphology of nanomaterials, and the acquisition of images of a large field-of-view, thereby facilitating a more comprehensive understanding of the microstructure of materials. Moreover, AFP holds great promise for promoting the widespread application of ptychographic tomography in the analysis of planar samples.
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http://dx.doi.org/10.1002/smtd.202500590 | DOI Listing |
J Appl Clin Med Phys
September 2025
Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, USA.
Purpose: Real‑time magnetic resonance-guided radiation therapy (MRgRT) integrates MRI with a linear accelerator (Linac) for gating and adaptive radiotherapy, which requires robust image‑quality assurance over a large field of view (FOV). Specialized phantoms capable of accommodating this extensive FOV are therefore essential. This study compares the performance of four commercial MRI phantoms on a 0.
View Article and Find Full Text PDFJ Biomed Phys Eng
August 2025
Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
Background: Employing 2D rebinned sinograms in PET scanners has the potential to accelerate the overall reconstruction speed. Among the available rebinning techniques, Single-Slice Rebinning (SSRB) offers a computationally efficient approach.
Objective: This study aimed to evaluate the influence of varying span and Maximum Ring Difference (MRD) parameters in SSRB on the image quality of the Xtrim PET scanner.
Med Image Anal
August 2025
Center for Research in Computer Vision, University of Central Florida, United States.
Leukemia is the 10th most frequently diagnosed cancer and one of the leading causes of cancer-related deaths worldwide. Realistic analysis of leukemia requires white blood cell (WBC) localization, classification, and morphological assessment. Despite deep learning advances in medical imaging, leukemia analysis lacks a large, diverse multi-task dataset, while existing small datasets lack domain diversity, limiting real-world applicability.
View Article and Find Full Text PDFbioRxiv
August 2025
Department of Biology, McGill University, Montreal, Quebec, Canada.
Quantitative phenotyping of is essential across numerous fields, yet data extraction remains a significant analytical bottleneck. Traditional segmentation methods, typically reliant on pixel-intensity thresholding, are highly sensitive to variations in imaging conditions and often fail in the presence of noise, overlaps, or uneven illumination. These failures necessitate meticulous experimental setups, expensive hardware, or extensive manual curation, which reduces throughput and introduces bias.
View Article and Find Full Text PDFBr J Haematol
August 2025
Division of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Traditional microscopy compromises between resolution and field of view, limiting its diagnostic sensitivity. We present here next-generation morphology (NGM), a novel five-layer analytical approach leveraging a physical solution that enables high-resolution, large-field digital imaging, data mining and analysis of blood specimens. To test NGM performance, peripheral blood smears (PBS) from 37 myelodysplastic syndrome (MDS) patients and 30 age-matched controls were analysed.
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