<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Fluorescence microscopy videos of mitochondria in H9c2 cardiomyoblasts</titl><IDNo agency="DOI">doi:10.18710/11LLTW</IDNo></titlStmt><distStmt><distrbtr source="archive">DataverseNO</distrbtr><distDate>2023-06-05</distDate></distStmt><verStmt source="archive"><version date="2023-11-23" type="RELEASED">2</version></verStmt><biblCit>Opstad, Ida, 2023, "Fluorescence microscopy videos of mitochondria in H9c2 cardiomyoblasts", https://doi.org/10.18710/11LLTW, DataverseNO, V2</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Fluorescence microscopy videos of mitochondria in H9c2 cardiomyoblasts</titl><IDNo agency="DOI">doi:10.18710/11LLTW</IDNo></titlStmt><rspStmt><AuthEnty affiliation="UiT The Arctic University of Norway">Opstad, Ida</AuthEnty><othId role="Project Leader">Agarwal, Krishna</othId><othId role="Project Leader">Birgisdottir, Åsa B.</othId><othId role="Research Group">Ahluwalia, Balpreet S.</othId><othId role="Project Leader">Prasad, Dilip K.</othId><othId role="Researcher">Godtliebsen, Gustav</othId><othId role="Data Manager">Wolfson, Deanna</othId></rspStmt><prodStmt><producer abbr="UiT">UiT The Arctic University of Norway</producer><prodDate>2023-05-31</prodDate><prodPlac>Tromsø, Norway</prodPlac><software>ImageJ/Fiji</software><grantNo agency="UiT The Arctic University of Norway">Tematiske satsinger (VirtualStain; project number 2061348).</grantNo><grantNo agency="Helse Nord RHF">Grant number HNF1449-19</grantNo></prodStmt><distStmt><distrbtr source="archive">DataverseNO</distrbtr><distrbtr affiliation="UiT The Arctic University of Norway" URI="https://dataverse.no/dataverse/uit">UiT The Arctic University of Norway</distrbtr><contact affiliation="UiT The Arctic University of Norway" email="ida.s.opstad@uit.no">Opstad, Ida</contact><contact affiliation="UiT The Arctic University of Norway" email="krishna.agarwal@uit.no">Agarwal, Krishna</contact><depositr>Opstad, Ida Sundvor</depositr><depDate>2023-05-31</depDate></distStmt><holdings URI="https://doi.org/10.18710/11LLTW"/></citation><stdyInfo><subject><keyword xml:lang="en">Medicine, Health and Life Sciences</keyword><keyword>mitochondria</keyword><keyword>lysosomes</keyword><keyword>fluorescence microscopy</keyword><keyword>brightfield</keyword><keyword>correlative imaging</keyword><keyword>time-lapse</keyword></subject><abstract>Series of three-dimensional fluorescence microscopy videos of the rat cardiomyoblast cell-line H9c2. 
Where indicated in the file name, the cells were adapted to galactose (galac). Normal growth conditions are with glucose (gluc).
The outer mitochondrial membranes are labelled with the double tag mCherry-EGFP-OMP-25TM (dTag), i.e., both a red and green fluorescent protein variant. 
dTag can be used as a sensor for acidity (or lysosomal degradation), as the green fluorescence is lost sooner in an acidic environment than the red fluorescence. 
Where indicated, the samples are additionally labelled with LysoTracker Deep Red (LTDR). 

&lt;p>
This data is a collection of fluorescence microscopy videos acquired to study the dynamics of mitochondria and the degradation of mitochondria in lysosomes. 
Correlative transmission microscopy images (trans) were provided for machine learning to later enable label-free detection of mitochondria and lysosomes. 
&lt;p>
Each folder contains data from different experimental conditions:
&lt;p>
mCh_eGFP_CCCP:  mitochondrial outer membrane protein 25 is dually labelled using mCherry-EGFP. 
The time-lapses in this folder can be used to study the effect of carbonyl cyanide m-chlorophenyl hydrazone (CCCP) (see more details under methodological information.)
&lt;p>
mCh_eGFP_LTDR: mitochondrial outer membrane protein 25 is dually labelled using mCherry-EGFP and acidic compartments using Lysotracker deep red.
&lt;p>
mCh_eGFP_LTDR_trans: mitochondrial outer membrane protein 25 is dually labelled using mCherry-EGFP and acidic compartments using Lysotracker deep red. The fluorescence data has correlative label-free brightfield/transmission images (channel 4).
&lt;p>
mCh_eGFP_trans: mitochondrial outer membrane protein 25 is dually labelled using mCherry-EGFP.
The fluorescence data has correlative label-free brightfield/transmission images (channel 4).</abstract><sumDscr><timePrd cycle="P1" event="start" date="2020-02-27">2020-02-27</timePrd><timePrd cycle="P1" event="end" date="2021-06-11">2021-06-11</timePrd><collDate cycle="P1" event="start" date="2020-02-27">2020-02-27</collDate><collDate cycle="P1" event="end" date="2021-06-11">2021-06-11</collDate><nation>Norway</nation><geogCover>Troms</geogCover><geogCover>Tromsø</geogCover><dataKind>Multidimensional microscopy image data</dataKind></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Somani, Ayush, Arif Ahmed Sekh, Ida S. Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Alexander Horsch, Krishna Agarwal, and Dilip K. Prasad. "Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning." Biomedical Optics Express 13, no. 10 (2022): 5495-5516.</titl><IDNo agency="doi">10.1364/BOE.464177</IDNo></titlStmt><biblCit>Somani, Ayush, Arif Ahmed Sekh, Ida S. Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Alexander Horsch, Krishna Agarwal, and Dilip K. Prasad. "Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning." Biomedical Optics Express 13, no. 10 (2022): 5495-5516.</biblCit></citation><ExtLink URI="https://doi.org/10.1364/BOE.464177"/></relPubl><relPubl><citation><titlStmt><titl>Sekh, Arif Ahmed, Ida S. Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal, and Dilip K. Prasad. "Physics-based machine learning for subcellular segmentation in living cells." Nature Machine Intelligence 3, no. 12 (2021): 1071-1080.</titl><IDNo agency="doi">10.1038/s42256-021-00420-0</IDNo></titlStmt><biblCit>Sekh, Arif Ahmed, Ida S. Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal, and Dilip K. Prasad. "Physics-based machine learning for subcellular segmentation in living cells." 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