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        <title>Experimental Biology and Medicine | Bioimaging section | New and Recent Articles</title>
        <link>https://www.ebm-journal.org/journals/experimental-biology-and-medicine/sections/bioimaging</link>
        <description>RSS Feed for Bioimaging section in the Experimental Biology and Medicine journal | New and Recent Articles</description>
        <language>en-us</language>
        <generator>Frontiers Feed Generator,version:1</generator>
        <pubDate>2026-04-10T07:10:55.493+00:00</pubDate>
        <ttl>60</ttl>
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        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2025.10560</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2025.10560</link>
        <title><![CDATA[In-ovo imaging using ostrich eggs: biodistribution of F-18-FDG in ostrich embryos]]></title>
        <pubdate>2025-06-19T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Thomas Winkens</author><author>Pauline Schweitzer</author><author>Olga Perkas</author><author>Christian Kühnel</author><author>Ferdinand Ndum</author><author>Marta Pomraenke</author><author>Julia Greiser</author><author>Martin Freesmeyer</author>
        <description><![CDATA[In-ovo imaging using ostrich eggs has been described as an alternative to animal testing using rodents. This approach is not considered an animal experiment and it does not require small-animal imaging devices as ostrich eggs provide good image quality on regular CT, MRI or PET used in humans. The aims of this study were 1) to describe methods of radiopharmaceutical injection, 2) to explore normal biodistribution of F-18-FDG during a 60-min list-mode-PET/CT examination and 3) to compare biodistribution in-ovo to existing literature considering chicken and rodents. Vessel access was successful in 54/78 ostrich eggs. Highest FDG-uptake was observed in epiphyseal plates (0.36 ± 0.06 IA%/g; range 0.29–0.48 IA%/g) and brain (0.25 ± 0.05 IA%/g; range 0.21–0.36 IA%/g). In-vivo activity distribution on PET and ex-vivo activity distribution (well counter) showed comparable results (Spearman’s Rho range 0.795–0.882). No significant differences were observed regarding previous isoflurane exposure. Normal biodistribution of F-18-FDG in ostrich embryos using a standard PET/CT system for humans was mainly found as expected with highest uptake in epiphyseal plates and brain which is comparable to results on rodents and chicken embryos. Isoflurane anesthesia did not reveal significant differences regarding organ uptake. The results of this normal distribution study allow for interpretation of future disease models (inflammation, tumor) in ostrich embryos using F-18-FDG as radiopharmaceutical.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2024.10333</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2024.10333</link>
        <title><![CDATA[Quantitative characterization of retinal features in translated OCTA]]></title>
        <pubdate>2024-10-23T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Rashadul Hasan Badhon</author><author>Atalie Carina Thompson</author><author>Jennifer I. Lim</author><author>Theodore Leng</author><author>Minhaj Nur Alam</author>
        <description><![CDATA[This study explores the feasibility of quantitative Optical Coherence Tomography Angiography (OCTA) features translated from OCT using generative machine learning (ML) for characterizing vascular changes in retina. A generative adversarial network framework was employed alongside a 2D vascular segmentation and a 2D OCTA image translation model, trained on the OCT-500 public dataset and validated with data from the University of Illinois at Chicago (UIC) retina clinic. Datasets are categorized by scanning range (Field of view) and disease status. Validation involved quality and quantitative metrics, comparing translated OCTA (TR-OCTA) with ground truth OCTAs (GT-OCTA) to assess the feasibility for objective disease diagnosis. In our study, TR-OCTAs showed high image quality in both 3 and 6 mm datasets (high-resolution and contrast quality, moderate structural similarity compared to GT-OCTAs). Vascular features like tortuosity and vessel perimeter index exhibits more consistent trends compared to density features which are affected by local vascular distortions. For the validation dataset (UIC), the metrics show similar trend with a slightly decreased performance since the model training was blind on UIC data, to evaluate inference performance. Overall, this study presents a promising solution to the limitations of OCTA adoption in clinical practice by using vascular features from TR-OCTA for disease detection. By making detailed vascular imaging more widely accessible and reducing reliance on expensive OCTA equipment, this research has the potential to significantly enhance the diagnostic process for retinal diseases.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2024.10064</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2024.10064</link>
        <title><![CDATA[Ultrasound-based assessment of the expression of inflammatory markers in the rectus femoris muscle of rats]]></title>
        <pubdate>2024-02-29T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Bahareh Ahmadi</author><author>Felipe C. K. Duarte</author><author>John Srbely</author><author>Pawel M. Bartlewski</author>
        <description><![CDATA[Ultrasonographic characteristics of skeletal muscles are related to their health status and functional capacity, but they still provide limited information on muscle composition during the inflammatory process. It has been demonstrated that an alteration in muscle composition or structure can have disparate effects on different ranges of ultrasonogram pixel intensities. Therefore, monitoring specific clusters or bands of pixel intensity values could help detect echotextural changes in skeletal muscles associated with neurogenic inflammation. Here we compare two methods of ultrasonographic image analysis, namely, the echointensity (EI) segmentation approach (EI banding method) and detection of selective pixel intensity ranges correlated with the expression of inflammatory regulators using an in-house developed computer algorithm (r-Algo). This study utilized an experimental model of neurogenic inflammation in segmentally linked myotomes (i.e., rectus femoris (RF) muscle) of rats subjected to lumbar facet injury. Our results show that there were no significant differences in RF echotextural variables for different EI bands (with 50- or 25-pixel intervals) between surgery and sham-operated rats, and no significant correlations among individual EI band pixel characteristics and protein expression of inflammatory regulators studied. However, mean numerical pixel values for the pixel intensity ranges identified with the proprietary r-Algo computer program correlated with protein expression of ERK1/2 and substance P (both 86–101-pixel ranges) and CaMKII (86–103-pixel range) in RF, and were greater (p < 0.05) in surgery rats compared with their sham-operated counterparts. Our findings indicate that computer-aided identification of specific pixel intensity ranges was critical for ultrasonographic detection of changes in the expression of inflammatory mediators in neurosegmentally-linked skeletal muscles of rats after facet injury.]]></description>
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        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2024.10030</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2024.10030</link>
        <title><![CDATA[Correlation between subcutaneous adipose tissue of the head and body mass index in children and young adults aged 8–19 years: implications for functional neuroimaging]]></title>
        <pubdate>2024-02-08T00:00:00Z</pubdate>
        <category>Brief Communication</category>
        <author>Stacey L. Gorniak</author><author>Hao Meng</author><author>Saba Yazdekhasti</author><author>Luca Pollonini</author>
        <description><![CDATA[High body mass index (BMI) is presumed to signify high amounts of fat (subcutaneous adipose tissue) distributed across the body. High amounts of fat co-occurring with increased BMI has been cited as a potential neuroimaging barrier. Presence of increased fat may result in high electrical impedance and increased light diffusion—resulting in low signal to noise ratios during electroencepholography (EEG), functional near-infrared spectroscopy (fNIRS), and transcranial direct current stimulation (tDCS) measurements. Examining if subcutaneous fat in the head increases with respect to total body fat percentage and BMI in school-aged children and adolescents is an essential next step in developing possible mathematical corrections for neuroimaging modalities. We hypothesized that percentage of subcutaneous adipose tissue in the head region would increase with respect to both total body fat percentage and BMI. Increased subcutaneous head fat percentage was associated with a positive linear relationship with BMI and a quadratic relationship with total body fat. The data indicate that participant age, sex, and adiposity should be considered in the development of model corrections for neuroimaging signal processing in school-aged children and adolescents. Strength of regression coefficients in our models differed from those in adults, indicating that age-specific models should be utilized.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ebm-journal.org/articles/10.3389/ebm.2024.10024</guid>
        <link>https://www.ebm-journal.org/articles/10.3389/ebm.2024.10024</link>
        <title><![CDATA[Intrinsic signal optoretinography of dark adaptation abnormality due to rod photoreceptor degeneration]]></title>
        <pubdate>2024-01-31T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Jie Ding</author><author>Tae-Hoon Kim</author><author>Guangying Ma</author><author>Xincheng Yao</author>
        <description><![CDATA[This research aims to investigate the potential of using intrinsic optical signal (IOS) optoretinography (ORG) to objectively detect dark adaptation (DA) abnormalities related to rod photoreceptor degeneration. Functional optical coherence tomography (OCT) was employed in both wild-type (WT) and retinal degeneration 10 (rd10) mice to conduct this assessment. Dynamic OCT measurements captured the changes in retinal thickness and reflectance from light-to-dark transition. Comparative analysis revealed significant IOS alterations within the outer retina. Specifically, a reduction in thickness from external limiting membrane (ELM) peak to retinal pigment epithelium (RPE) peak was observed (WT: 1.13 ± 0.69 µm, 30 min DA; rd10: 2.64 ± 0.86 µm, 30 min DA), as well as a decrease in the intensity of the inner segment ellipsoid zone (EZ) in 30 min DA compared to light adaptation (LA). The reduction of relative EZ intensity was notable in rd10 after 5 min DA and in WT after 15 min DA, with a distinguishable difference between rd10 and WT after 10 min DA. Furthermore, our findings indicated a significant decrease in the relative intensity of the hypo-reflective band between EZ and RPE in rd10 retinas during DA, which primarily corresponds to the outer segment (OS) region. In conclusion, the observed DA-IOS abnormalities, including changes in ELM-RPE thickness, EZ, and OS intensity, hold promise as differentiators between WT and rd10 mice before noticeable morphological abnormalities occur. These findings suggest the potential of this non-invasive imaging technique for the early detection of dysfunction in retinal photoreceptors.]]></description>
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