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Lusca: FIJI (ImageJ) based tool for automated morphological analysis of cellular and subcellular structures
Scientific Reports, 14 (2024), 1; 7383. https://doi.org/10.1038/s41598-024-57650-6
Šimunić, Iva; Jagečić, Denis; Isaković, Jasmina; Dobrivojević Radmilović, Marina; Mitrečić, Dinko

Institucijski repozitorij: Dr Med - digitalni repozitorij Medicinskog fakulteta Sveučilišta u Zagrebu

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Šimunić, I., Jagečić, D., Isaković, J., Dobrivojević Radmilović, M. i Mitrečić, D. (2024). Lusca: FIJI (ImageJ) based tool for automated morphological analysis of cellular and subcellular structures. Scientific Reports, 14. (1). doi: 10.1038/s41598-024-57650-6

Šimunić, Iva, et al. "Lusca: FIJI (ImageJ) based tool for automated morphological analysis of cellular and subcellular structures." Scientific Reports, vol. 14, br. 1, 2024. https://doi.org/10.1038/s41598-024-57650-6

Šimunić, Iva, Denis Jagečić, Jasmina Isaković, Marina Dobrivojević Radmilović i Dinko Mitrečić. "Lusca: FIJI (ImageJ) based tool for automated morphological analysis of cellular and subcellular structures." Scientific Reports 14, br. 1 (2024). https://doi.org/10.1038/s41598-024-57650-6

Šimunić, I., et al. (2024) 'Lusca: FIJI (ImageJ) based tool for automated morphological analysis of cellular and subcellular structures', Scientific Reports, 14(1). doi: 10.1038/s41598-024-57650-6

Šimunić I, Jagečić D, Isaković J, Dobrivojević Radmilović M, Mitrečić D. Lusca: FIJI (ImageJ) based tool for automated morphological analysis of cellular and subcellular structures. Scientific Reports [Internet]. 28.03.2024. [pristupljeno 29.12.2024.];14(1). doi: 10.1038/s41598-024-57650-6

I. Šimunić, D. Jagečić, J. Isaković, M. Dobrivojević Radmilović i D. Mitrečić, "Lusca: FIJI (ImageJ) based tool for automated morphological analysis of cellular and subcellular structures", Scientific Reports, vol. 14, br. 1, Ožujak 2024. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:105:234312. [Citirano: 29.12.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:105:234312
Podaci o radu
Naslov (engleski)Lusca: FIJI (ImageJ) based tool for automated morphological analysis of cellular and subcellular structures
AutorIva Šimunić
AutorDenis Jagečić
AutorJasmina Isaković
AutorMarina Dobrivojević Radmilović
AutorDinko Mitrečić
Autorova ustanovaSveučilište u Zagrebu
Medicinski fakultet
(HRVATSKI INSTITUT ZA ISTRAŽIVANJE MOZGA)
Autorova ustanovaSveučilište u Zagrebu
Medicinski fakultet
(KATEDRA ZA HISTOLOGIJU I EMBRIOLOGIJU)
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Temeljne medicinske znanosti
Citologija, histologija i embriologija
Sažetak (engleski)
The human body consists of diverse subcellular, cellular and supracellular structures. Neurons possess varying-sized projections that interact with different cellular structures leading to the development of highly complex morphologies. Aiming to enhance image analysis of complex biological forms including neurons using available FIJI (ImageJ) plugins, Lusca, an advanced open-source tool, was developed. Lusca utilizes machine learning for image segmentation with intensity and size thresholds. It performs particle analysis to ascertain parameters such as area/volume, quantity, and intensity, in addition to skeletonization for determining length, branching, and width. Moreover, in conjunction with colocalization measurements, it provides an extensive set of 29 morphometric parameters for both 2D and 3D analysis. This is a significant enhancement compared to other scripts that offer only 5–15 parameters. Consequently, it ensures quicker and more precise quantification by effectively eliminating noise and discerning subtle details. With three times larger execution speed, fewer false positive and negative results, and the capacity to measure various parameters, Lusca surpasses other existing open-source solutions. Its implementation of machine learning-based segmentation facilitates versatile applications for different cell types and biological structures, including mitochondria, fibres, and vessels. Lusca’s automated and precise measurement capability makes it an ideal choice for diverse biological image analyses.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaScientific Reports
Brojčani podacivol. 14, br. 1, 7383
e-ISSN2045-2322
DOIhttps://doi.org/10.1038/s41598-024-57650-6
URN:NBNurn:nbn:hr:105:234312
Datum objave publikacije2024-03-28
ProjektŠifra: UIP-2017-05-8082
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Naziv (engleski): The role of bradykinin in brain and retinal ischemia in diabetic murine models
Kratica: BRADISCHEMIA
Voditelj: Marina Radmilović Dobrivojević
Pravna nadležnost: Hrvatska
Financijer: Hrvatska zaklada za znanost
Linija financiranja: Installation Research Projects
ProjektŠifra: IP-2022-10-4656
Naziv (hrvatski): Otkrivanje neurorazvojne osnove Downovog sindroma pomoću jedinstvenih organoida ljudskog mozga
Naziv (engleski): Revealing the Neurodevelopmental Basis of Down Syndrome on a Unique Human Brain Organoid Model
Kratica: DevDown
Voditelj: Dinko Mitrečić
Pravna nadležnost: Hrvatska
Financijer: Hrvatska zaklada za znanost
Linija financiranja: Research Projects
URL dokumentahttps://www.nature.com/articles/s41598-024-57650-6
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2024-09-26 11:03:22