Abstract
Human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) provide a platform for studying disease models and physiological conditions. Sarcomere structure orientation can be used to determine hiPSC-CM culture maturity. However, novel methods are needed for assessing their structure and cellular function. Brightfield microscopy enables continuous label-free measurement of cell cultures in vitro. Here, we propose evaluating sarcomere organization from the morphology and orientation of nuclei in brightfield images. We used publicly available image dataset consisting of brightfield complemented with stained nuclei and α- actinin. We trained a U-Net-based network for segmenting nuclei from brightfield images (IOU of 0.72) and extracted the orientation and aspect ratio of the predicted and stained nuclei. We quantified myofibrillar orientation from α-actinin and determined how it related to nuclei. The analysis revealed correlation between elongated nuclei and the orientation of the surrounding myofibrils. Our results indicate that brightfield data alone can provide estimates of cellular structures without staining. This provides the means to assess structure and maturity from repeated measurements of unstained cells, enabling high-throughput quantification of the in-vitro cardiomyocyte mechanobiology.
| Original language | English |
|---|---|
| Title of host publication | 2022 Computing in Cardiology (CinC) |
| Publisher | IEEE |
| Pages | 1-4 |
| ISBN (Electronic) | 9798350300970 |
| DOIs | |
| Publication status | Published - 2022 |
| Publication type | A4 Article in conference proceedings |
| Event | Computing in Cardiology - Tampere Hall, Tampere, Finland Duration: 4 Sept 2022 → 7 Sept 2022 Conference number: 49 https://events.tuni.fi/cinc2022/ |
Publication series
| Name | Computing in Cardiology |
|---|---|
| Volume | 2022-September |
| ISSN (Print) | 2325-8861 |
| ISSN (Electronic) | 2325-887X |
Conference
| Conference | Computing in Cardiology |
|---|---|
| Abbreviated title | CinC 2022 |
| Country/Territory | Finland |
| City | Tampere |
| Period | 4/09/22 → 7/09/22 |
| Internet address |
Funding
This study was funded by a personal grant from Finnish Cultural Foundation Pirkanmaa regional fund. We would like to acknowledge Nicolas Pielawski for valuable input during model building.
| Funders |
|---|
| Suomen Kulttuurirahasto |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- General Computer Science
- Cardiology and Cardiovascular Medicine
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