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| http://dx.doi.org/10.1186/s41181-021-00134-z | DOI Listing |
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Fully-automated segmentation of muscle and inter-/intra-muscular fat from magnetic resonance images of calves and thighs: an open-source workflow in Python.
Skelet Muscle
December 2024
Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Background: INTER- and INTRAmuscular fat (IMF) is elevated in high metabolic states and can promote inflammation. While magnetic resonance imaging (MRI) excels in depicting IMF, the lack of reproducible tools prevents the ability to measure change and track intervention success.
Methods: We detail an open-source fully-automated iterative threshold-seeking algorithm (ITSA) for segmenting IMF from T1-weighted MRI of the calf and thigh within three cohorts (CaMos Hamilton (N = 54), AMBERS (N = 280), OAI (N = 105)) selecting adults 45-85 years of age.
Solid phase extraction chromatography-based radiochemical isolation of cyclotron-produced Mn from enriched Fe targets.
Nucl Med Biol
December 2024
University of Wisconsin Department of Medical Physics, 1111 Highland Avenue, Madison, WI 53705, United States of America; University of Wisconsin Department of Radiology, 600 Highland Avenue, Madison, WI 53792, United States of America. Electronic address:
We report DGA extraction chromatography isolation of Mn from isotopically enriched Fe. The method has been studied in semi-automated and automated realizations. The former achieves a decay corrected radiochemical yield of 78 ± 1 % (n = 3) and a separation factor of (1.
View Article and Find Full Text PDFA Versatile Drift-Free Super-Resolution Imaging Method via Oblique Bright-Field Correlation.
Adv Sci (Weinh)
December 2024
Department of Bioengineering, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
High-resolution optical microscopy, particularly super-resolution localization microscopy, requires precise real-time drift correction to maintain constant focus at nanoscale precision during the prolonged data acquisition. Existing methods, such as fiducial marker tracking, reflection monitoring, and bright-field image correlation, each provide certain advantages but are limited in their broad applicability. In this work, a versatile and robust drift correction technique is presented for single-molecule localization-based super-resolution microscopy.
View Article and Find Full Text PDFBackground: Manual analysis of histopathological images is often not only time-consuming and painstaking but also prone to error from subjective evaluation criteria and human error. To address these issues, we created a fully automated workflow to enumerate jejunal crypts in a microcolony survival assay to quantify gastrointestinal damage from radiation.
Methods And Materials: After abdominal irradiation of mice, jejuna were obtained and prepared on histopathologic slides, and crypts were counted manually by trained individuals.
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