المؤلفون: Piotr Kamola, Tomasz Przygodzki

المصدر: PLoS ONE, Vol 19, Iss 3 (2024)

مصطلحات موضوعية: Medicine, Science

وصف الملف: electronic resource

Relation: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10927075/?tool=EBI; https://doaj.org/toc/1932-6203

URL الوصول: https://doaj.org/article/6a39eaec249941958ec2801649604a39

المؤلفون: Piotr Kamola, Anna Babinska, Tomasz Przygodzki

المصدر: Platelets, Vol 34, Iss 1 (2023)

مصطلحات موضوعية: endothelium, f11r/jam-a, inflammation, platelets, thrombus, tight junctions, Diseases of the blood and blood-forming organs, RC633-647.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/0953-7104; https://doaj.org/toc/1369-1635

URL الوصول: https://doaj.org/article/72580d9411314b18af6453ebd6d8a3e1

المؤلفون: Piotr Kamola, Tomasz Przygodzki

مصطلحات موضوعية: Medicine, Cell Biology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, potential antithrombotic compounds, certain morphological features, flow chamber assays, allows better evaluation, bioimage analysis developed, widely used methods, one homogenous class, machine learning increases, distinguish two classes, thrombi morphology based, +classification%22">xlink "> classification, improve quantitative analysis, %22">xlink ">, machine learning, two classes, quantitative analysis, based analysis, flow conditions, better mirrored, reported analysis, quantitative information, predefined classes, thrombi based, often based

Relation: https://figshare.com/articles/journal_contribution/S1_File_-/25384910

الاتاحة: https://doi.org/10.1371/journal.pone.0299202.s001

المؤلفون: Agata Sakowicz, Michalina Bralewska, Piotr Kamola, Tadeusz Pietrucha

المصدر: International Journal of Molecular Sciences; Volume 23; Issue 22; Pages: 14344

مصطلحات موضوعية: mouse, placenta, preeclampsia, rabbit, rat, rodents, trophoblast

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Molecular Pathology, Diagnostics, and Therapeutics; https://dx.doi.org/10.3390/ijms232214344

الاتاحة: https://doi.org/10.3390/ijms232214344

المؤلفون: Piotr Kamola, Tomasz Przygodzki

مصطلحات موضوعية: Medicine, Cell Biology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, potential antithrombotic compounds, certain morphological features, flow chamber assays, allows better evaluation, bioimage analysis developed, widely used methods, one homogenous class, machine learning increases, distinguish two classes, thrombi morphology based, +classification%22">xlink "> classification, improve quantitative analysis, %22">xlink ">, machine learning, two classes, quantitative analysis, based analysis, flow conditions, better mirrored, reported analysis, quantitative information, predefined classes, thrombi based, often based

Relation: https://figshare.com/articles/figure/Morphological_heterogeneity_of_platelet_aggregates_formed_on_collagen_under_flow_conditions_/25384913

الاتاحة: https://doi.org/10.1371/journal.pone.0299202.g001

المؤلفون: Piotr Kamola, Tomasz Przygodzki

مصطلحات موضوعية: Medicine, Cell Biology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, potential antithrombotic compounds, certain morphological features, flow chamber assays, allows better evaluation, bioimage analysis developed, widely used methods, one homogenous class, machine learning increases, distinguish two classes, thrombi morphology based, +classification%22">xlink "> classification, improve quantitative analysis, %22">xlink ">, machine learning, two classes, quantitative analysis, based analysis, flow conditions, better mirrored, reported analysis, quantitative information, predefined classes, thrombi based, often based

Relation: https://figshare.com/articles/figure/Quantification_of_the_effects_of_abciximab_on_thrombi_formation_with_the_use_of_the_models_described_in_the_study_/25384931

الاتاحة: https://doi.org/10.1371/journal.pone.0299202.g007

المؤلفون: Piotr Kamola, Tomasz Przygodzki

مصطلحات موضوعية: Medicine, Cell Biology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, potential antithrombotic compounds, certain morphological features, flow chamber assays, allows better evaluation, bioimage analysis developed, widely used methods, one homogenous class, machine learning increases, distinguish two classes, thrombi morphology based, +classification%22">xlink "> classification, improve quantitative analysis, %22">xlink ">, machine learning, two classes, quantitative analysis, based analysis, flow conditions, better mirrored, reported analysis, quantitative information, predefined classes, thrombi based, often based

Relation: https://figshare.com/articles/figure/Schematic_representation_of_the_workflow_used_for_image_quantification_/25384919

الاتاحة: https://doi.org/10.1371/journal.pone.0299202.g003

المؤلفون: Piotr Kamola, Tomasz Przygodzki

مصطلحات موضوعية: Medicine, Cell Biology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, potential antithrombotic compounds, certain morphological features, flow chamber assays, allows better evaluation, bioimage analysis developed, widely used methods, one homogenous class, machine learning increases, distinguish two classes, thrombi morphology based, +classification%22">xlink "> classification, improve quantitative analysis, %22">xlink ">, machine learning, two classes, quantitative analysis, based analysis, flow conditions, better mirrored, reported analysis, quantitative information, predefined classes, thrombi based, often based

Relation: https://figshare.com/articles/figure/Schematic_representation_of_pixel_and_object_classification_steps_in_Ilastik_followed_by_particle_analyses_by_FIJI_in_the_workflow_where_only_selected_class_of_thrombi_was_quantified_/25384916

الاتاحة: https://doi.org/10.1371/journal.pone.0299202.g002

المؤلفون: Piotr Kamola, Tomasz Przygodzki

مصطلحات موضوعية: Medicine, Cell Biology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, potential antithrombotic compounds, certain morphological features, flow chamber assays, allows better evaluation, bioimage analysis developed, widely used methods, one homogenous class, machine learning increases, distinguish two classes, thrombi morphology based, +classification%22">xlink "> classification, improve quantitative analysis, %22">xlink ">, machine learning, two classes, quantitative analysis, based analysis, flow conditions, better mirrored, reported analysis, quantitative information, predefined classes, thrombi based, often based

Relation: https://figshare.com/articles/figure/ROC_curve_for_the_model_used_to_segment_only_compacted_thrombi_/25384922

الاتاحة: https://doi.org/10.1371/journal.pone.0299202.g004

المؤلفون: Piotr Kamola, Tomasz Przygodzki

مصطلحات موضوعية: Medicine, Cell Biology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, potential antithrombotic compounds, certain morphological features, flow chamber assays, allows better evaluation, bioimage analysis developed, widely used methods, one homogenous class, machine learning increases, distinguish two classes, thrombi morphology based, +classification%22">xlink "> classification, improve quantitative analysis, %22">xlink ">, machine learning, two classes, quantitative analysis, based analysis, flow conditions, better mirrored, reported analysis, quantitative information, predefined classes, thrombi based, often based

Relation: https://figshare.com/articles/figure/Quantification_of_platelets_adhered_to_fibrinogen_/25384925

الاتاحة: https://doi.org/10.1371/journal.pone.0299202.g005

المؤلفون: Piotr Kamola, Tomasz Przygodzki

مصطلحات موضوعية: Medicine, Cell Biology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, potential antithrombotic compounds, certain morphological features, flow chamber assays, allows better evaluation, bioimage analysis developed, widely used methods, one homogenous class, machine learning increases, distinguish two classes, thrombi morphology based, +classification%22">xlink "> classification, improve quantitative analysis, %22">xlink ">, machine learning, two classes, quantitative analysis, based analysis, flow conditions, better mirrored, reported analysis, quantitative information, predefined classes, thrombi based, often based

Relation: https://figshare.com/articles/figure/Segmentation_of_thrombi_formed_in_control_conditions_and_in_the_presence_of_abciximab_with_the_use_of_the_models_described_in_the_study_/25384928

الاتاحة: https://doi.org/10.1371/journal.pone.0299202.g006

المؤلفون: Łukasz Duda, Karol Kamil Kłosiński, Magdalena Redynk, Piotr Tomasz Arkuszewski, Kamil Paszowski, Piotr Kamola, Barbara Kosiska, Zbigniew Włodzimierz Pasieka

المصدر: Medical University of Lodz, Poland. PublicUM

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2660ab0c1a4a2032cf9c8c0996a34581
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