Search: onr:"swepub:oai:DiVA.org:kth-330492" > Deep learning-based...
Fältnamn | Indikatorer | Metadata |
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000 | 05570naa a2200493 4500 | |
001 | oai:DiVA.org:kth-330492 | |
003 | SwePub | |
008 | 230630s2023 | |||||||||||000 ||eng| | |
009 | oai:prod.swepub.kib.ki.se:152888065 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3304922 URI |
024 | 7 | a https://doi.org/10.1016/j.kint.2023.03.0132 DOI |
024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1528880652 URI |
040 | a (SwePub)kthd (SwePub)ki | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Jess, David Unnersjöu KTH,Biofysik,Science for Life Laboratory, SciLifeLab,Univ Cologne, Fac Med, Dept Internal Med 2, Cologne, Germany.;Univ Hosp Cologne, Cologne, Germany.;Univ Cologne, Fac Med, Ctr Mol Med Cologne CMMC, Cologne, Germany.;Univ Cologne, Cologne Excellence Cluster Cellular Stress Respons, Cologne, Germany.;Karolinska Univ Hosp, MedTechLabs, Solna, Sweden.;Karolinska Inst, Dept Clin Sci Intervent & Technol, Div Renal Med, Stockholm, Sweden.4 aut0 (Swepub:kth)u10c8quf |
245 | 1 0 | a Deep learning-based segmentation and quantification of podocyte foot process morphology suggests differential patterns of foot process effacement across kidney pathologies |
264 | 1 | b Elsevier BV,c 2023 |
338 | a print2 rdacarrier | |
500 | a QC 20230630 | |
520 | a Morphological alterations at the kidney filtration barrier increase intrinsic capillary wall permeability resulting in albuminuria. However, automated, quantitative assessment of these morphological changes has not been possible with electron or light microscopy. Here we present a deep learning-based approach for segmentation and quantitative analysis of foot processes in images acquired with confocal and super-resolution fluorescence microscopy. Our method, Automatic Morphological Analysis of Podocytes (AMAP), accurately segments podocyte foot processes and quantifies their morphology. AMAP applied to a set of kidney diseases in patient biopsies and a mouse model of focal segmental glomerulosclerosis allowed for accurate and comprehensive quantification of various morphometric features. With the use of AMAP, detailed morphology of podocyte foot process effacement was found to differ between categories of kidney pathologies, showed detailed variability between diverse patients with the same clinical diagnosis, and correlated with levels of proteinuria. AMAP could potentially complement other readouts such as various omics, standard histologic/electron microscopy and blood/urine assays for future personalized diagnosis and treatment of kidney disease. Thus, our novel finding could have implications to afford an understanding of early phases of kidney disease progression and may provide supplemental information in precision diagnostics. | |
653 | a artificial intelligence | |
653 | a kidney pathology | |
653 | a podocyte | |
700 | 1 | a Butt, Linusu Univ Cologne, Fac Med, Dept Internal Med 2, Cologne, Germany.;Univ Hosp Cologne, Cologne, Germany.;Univ Cologne, Fac Med, Ctr Mol Med Cologne CMMC, Cologne, Germany.;Univ Cologne, Cologne Excellence Cluster Cellular Stress Respons, Cologne, Germany.;Univ Hosp Cologne, Dept Internal Med 2, Kerpener Str 62, D-50937 Cologne, Germany.4 aut |
700 | 1 | a Hoehne, Martinu Univ Cologne, Fac Med, Dept Internal Med 2, Cologne, Germany.;Univ Hosp Cologne, Cologne, Germany.;Univ Cologne, Cologne Excellence Cluster Cellular Stress Respons, Cologne, Germany.4 aut |
700 | 1 | a Sergei, Germanu Univ Hosp Cologne, Cologne, Germany.;Univ Cologne, Fac Med, Ctr Mol Med Cologne CMMC, Cologne, Germany.4 aut |
700 | 1 | a Fatehi, Arashu Univ Hosp Cologne, Cologne, Germany.;Univ Cologne, Fac Med, Ctr Mol Med Cologne CMMC, Cologne, Germany.4 aut |
700 | 1 | a Witasp, Annau Karolinska Institutet4 aut |
700 | 1 | a Wernerson, Annikau Karolinska Institutet4 aut |
700 | 1 | a Patrakka, Jaakkou Karolinska Institutet4 aut |
700 | 1 | a Hoyer, Peter F.u Univ Duisburg Essen, Pediat Nephrol, Pediat 2, Essen, Germany.4 aut |
700 | 1 | a Blom, Hans,d 1968-u KTH,Science for Life Laboratory, SciLifeLab,Biofysik,Karolinska Univ Hosp, MedTechLabs, Solna, Sweden.4 aut0 (Swepub:kth)u1qhk3ta |
700 | 1 | a Schermer, Bernhardu Univ Cologne, Fac Med, Dept Internal Med 2, Cologne, Germany.;Univ Hosp Cologne, Cologne, Germany.;Univ Cologne, Fac Med, Ctr Mol Med Cologne CMMC, Cologne, Germany.;Univ Cologne, Cologne Excellence Cluster Cellular Stress Respons, Cologne, Germany.4 aut |
700 | 1 | a Bozek, Katarzynau Univ Hosp Cologne, Cologne, Germany.;Univ Cologne, Fac Med, Ctr Mol Med Cologne CMMC, Cologne, Germany.;Univ Cologne, Cologne Excellence Cluster Cellular Stress Respons, Cologne, Germany.;Ctr Mol Med Cologne CMMC, Robert Koch Str 21, D-50931 Cologne, Germany.4 aut |
700 | 1 | a Benzing, Thomasu Univ Cologne, Fac Med, Dept Internal Med 2, Cologne, Germany.;Univ Hosp Cologne, Cologne, Germany.;Univ Cologne, Fac Med, Ctr Mol Med Cologne CMMC, Cologne, Germany.;Univ Cologne, Cologne Excellence Cluster Cellular Stress Respons, Cologne, Germany.4 aut |
710 | 2 | a KTHb Biofysik4 org |
773 | 0 | t Kidney Internationald : Elsevier BVg 103:6, s. 1120-1130q 103:6<1120-1130x 0085-2538x 1523-1755 |
856 | 4 | u https://doi.org/10.1016/j.kint.2023.03.013y Fulltext |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-330492 |
856 | 4 8 | u https://doi.org/10.1016/j.kint.2023.03.013 |
856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:152888065 |
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