E-LIB Suche - Ergebnisse für: Migh, Ede

1

Rasva-aineenvaihdunnan muutos ulottuu histopatologisesti no..:

Pirhonen, Juho ; Szkalisity, Abel ; Hagström, Jaana...
Pirhonen , J , Szkalisity , A , Hagström , J , Kim , Y , Migh , E , Kovacs , M , Hölttä , M , Peränen , J , Seppänen , H , Haglund , C , Gil , J , Rezeli , M , Malm , J , Horvath , P , Marko-Varga , G , Puolakkainen , P & Ikonen , E 2022 , ' Rasva-aineenvaihdunnan muutos ulottuu histopatologisesti normaaleille alueille leikatuissa haimasyövissä ' , Duodecim , Vuosikerta. 138 , Nro 22 , Sivut 2041 .. , 2024

Link: http://hdl.handle.net/10..

2

Correlative Fluorescence and Raman Microscopy to Define Mit..:

Voros, Csaba ; Bauer, David ; Migh, Ede...
http://real.mtak.hu/175163/1/biosensors-13-00187.pdf. , 2023

Link: http://real.mtak.hu/1751..

3

Neuroinflammatory processes are augmented in mice overexpre..:

Dukay, Brigitta ; Walter, Fruzsina R ; Vigh, Judit P...
10.1186/s12974-020-02070-2. , 2023

Link: http://hdl.handle.net/10..

4

Correlative Fluorescence and Raman Microscopy to Define Mit..:

Voros, Csaba ; Bauer, David ; Migh, Ede...
info:eu-repo/semantics/altIdentifier/pmid/36831953. , 2023

Link: https://hdl.handle.net/1..

5

Development of a Laser Microdissection-Coupled Quantitative..:

Varga-Zsíros, Vanda ; Migh, Ede ; Marton, Annamária...
http://real.mtak.hu/175156/1/cells-12-00428-v2.pdf. , 2023

Link: http://real.mtak.hu/1751..

6

Deep Visual Proteomics defines single-cell identity and het..:

Mund, Andreas ; Coscia, Fabian ; Kriston, Andras...
10.1038/s41587-022-01302-5. , 2023

Link: http://hdl.handle.net/10..

7

Image-based and machine learning-guided multiplexed serolog..:

Pietiäinen, Vilja ; Polso, Minttu ; Migh, Ede...
10.1016/j.crmeth.2023.100565. , 2023

Link: http://hdl.handle.net/10..

8

Image-based and machine learning-guided multiplexed serolog..:

Pietiäinen Vilja ; Polso Minttu ; Migh Ede...
http://publicatio.bibl.u-szeged.hu/28600/1/Cell_Reports_Methods_2023_1-s2.0-S2667237523002096-main.pdf. , 2023

Link: http://publicatio.bibl.u..

9

Image-based and machine learning-guided multiplexed serolog..:

Pietiäinen, Vilja ; Polso, Minttu ; Migh, Ede...
http://real.mtak.hu/175067/1/1-s2.0-S2667237523002096-main.pdf. , 2023

Link: http://real.mtak.hu/1750..

10

Image-based and machine learning-guided multiplexed serolog..:

Pietiäinen, Vilja ; Polso, Minttu ; Migh, Ede...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475844/. , 2023

Link: http://www.ncbi.nlm.nih...

11

Unsupervised microscopy image registration datasets:

Grexa Istvan ; Horvath Peter ; Ivan Zsanett Zsofia...
doi:10.5281/zenodo.8162984. , 2023

Link: https://zenodo.org/recor..

12

Image-based and machine learning-guided multiplexed serolog..:

Pietiäinen, Vilja ; Polso, Minttu ; Migh, Ede...
Cell Reports : Methods. , 2023

Link: https://aaltodoc.aalto.f..

13

A Versatile Transposon-Based Technology to Generate Loss- a..:

Kopasz, Anna Georgina ; Pusztai, Dávid Zsolt ; Karkas, Réka...
http://real.mtak.hu/159197/1/s12915-022-01262-x.pdf. , 2022

Link: http://real.mtak.hu/1591..

14

A versatile transposon-based technology to generate loss- a..:

Kopasz Anna Georgina ; Pusztai Dávid ; Karkas Réka...
http://publicatio.bibl.u-szeged.hu/28956/1/s12915-022-01262-x.pdf. , 2022

Link: http://publicatio.bibl.u..

15

A versatile transposon-based technology to generate loss- a..:

Kopasz, Anna Georgina ; Pusztai, David Zsolt ; Karkas, Reka...
10.1186/s12915-022-01262-x. , 2022

Link: http://hdl.handle.net/10..