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1 change: 1 addition & 0 deletions .github/workflows/link-check.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,7 @@ jobs:
--exclude-path node_modules
--exclude "^https://forum\\.image\\.sc/"
--exclude "^https://www\\.broadinstitute\\.org/"
--exclude "^https://www\\.eu-openscreen\\.eu/"
--exclude "^https://doi\\.org/"
'content/**/*.md'
'*.md'
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61 changes: 34 additions & 27 deletions content/media/_index.md
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Expand Up @@ -5,29 +5,31 @@ showDate: false
showAuthor: false
---

## Talks
## 🎤 Talks

- **CytoData 2020** — Gregory Way — _Pycytominer: a computational ecosystem supporting
reproducible image-based profiling_ —
[Watch on YouTube](https://www.youtube.com/watch?v=XJuGOnZygOU)
- **SBI2 2025:** _Cytomining ecosystem overview_
• [Watch on YouTube](https://www.youtube.com/watch?v=5uZgvdOetmo)
- **ParslFest 2025:** _With great Parsl comes great portability: Using Parsl through CytoTable for harmonizing single-cell data_
• [Watch on YouTube](https://www.youtube.com/watch?v=GMHrb2c7ULs) · [View slides](https://doi.org/10.5281/zenodo.16995782)
- **CytoData 2020:** _Pycytominer: a computational ecosystem supporting reproducible image-based profiling_
• [Watch on YouTube](https://www.youtube.com/watch?v=XJuGOnZygOU)

## Posters
## 🖼️ Posters

- **SBI2 2024** — Jenna Tomkinson — _Single-cell Morphology Quality Control (coSMicQC)_ —
[View poster](https://doi.org/10.5281/zenodo.13829960)
- **SciPy 2023** — Dave Bunten — _Cross-language Data Grammar for Single-cell Research Feature
Engineering_ —
[View poster](https://doi.org/10.5281/zenodo.8137185)
- **SBI2 2023** — Dave Bunten — _CytoTable: High performance and scalable single-cell morphology
feature engineering_ —
[View poster](https://doi.org/10.5281/zenodo.16945320)
- **ParslFest 2025** — Dave Bunten — _With great Parsl comes great portability: Using Parsl
through CytoTable for harmonizing single-cell data_ —
[View slides](https://doi.org/10.5281/zenodo.16995782)
- **OME 2026 Community Meeting:** _OME-Arrow: Unifying Images, Metadata, and Features in an Interoperable Data Model_
• [View poster](https://zenodo.org/records/20152235)
- **SBI2 2025:** _Exploring single-cell images and profiles together with CytoDataFrame_
• [View poster](https://zenodo.org/records/17524610)
- **SBI2 2024:** _Single-cell Morphology Quality Control (coSMicQC)_
• [View poster](https://doi.org/10.5281/zenodo.13829960)
- **SciPy 2023:** _Cross-language Data Grammar for Single-cell Research Feature Engineering_
• [View poster](https://doi.org/10.5281/zenodo.8137185)
- **SBI2 2023:** _CytoTable: High performance and scalable single-cell morphology feature engineering_
• [View poster](https://doi.org/10.5281/zenodo.16945320)

## Publications
## 📚 Publications

### Reviews
### 🔎 Reviews

- Serrano, E. et al. Progress and new challenges in image-based profiling.
*Mol. Syst. Biol.* **22**, 624–658 (2026).
Expand All @@ -36,23 +38,28 @@ showAuthor: false
*Nat. Methods* **14**, 849–863 (2017).
[doi:10.1038/nmeth.4397](https://doi.org/10.1038/nmeth.4397)

### Tools
### 🧰 Tools

- Serrano, E. et al. Reproducible image-based profiling with Pycytominer.
#### Peer-reviewed

- **CytoTable ([tool page](https://cytomining.github.io/tools/cytotable/)):** Bunten, D. et al. Scalable data harmonization for single-cell image-based profiling with CytoTable.
*Patterns* **7**, 101514 (2026).
[doi:10.1016/j.patter.2026.101514](https://doi.org/10.1016/j.patter.2026.101514)
- **Pycytominer ([tool page](https://cytomining.github.io/tools/pycytominer/)):** Serrano, E. et al. Reproducible image-based profiling with Pycytominer.
*Nat. Methods* **22**, 677–680 (2025).
[doi:10.1038/s41592-025-02611-8](https://doi.org/10.1038/s41592-025-02611-8)
- Kalinin, A.A. et al. A versatile information retrieval framework for evaluating profile strength and similarity.
- **copairs ([tool page](https://cytomining.github.io/tools/copairs/)):** Kalinin, A.A. et al. A versatile information retrieval framework for evaluating profile strength and similarity.
*Nat. Commun.* **16**, 5181 (2025).
[doi:10.1038/s41467-025-60306-2](https://doi.org/10.1038/s41467-025-60306-2)
- Moshkov, N. et al. Learning representations for image-based profiling of perturbations.
- **DeepProfiler ([tool page](https://cytomining.github.io/tools/deepprofiler/)):** Moshkov, N. et al. Learning representations for image-based profiling of perturbations.
*Nat. Commun.* **15**, 1594 (2024).
[doi:10.1038/s41467-024-45999-1](https://doi.org/10.1038/s41467-024-45999-1)
- Bunten, D. et al. Scalable data harmonization for single-cell image-based profiling with CytoTable.
*Patterns* **7**, 101514 (2026).
[doi:10.1016/j.patter.2026.101514](https://doi.org/10.1016/j.patter.2026.101514)
- Serrano, E., Li, W.S. & Way, G.P. Single-cell hit calling in high-content imaging screens with Buscar.

#### Preprints

- **buscar ([tool page](https://cytomining.github.io/experimental/buscar/)):** Serrano, E., Li, W.S. & Way, G.P. Single-cell hit calling in high-content imaging screens with Buscar.
*bioRxiv* (2026).
[doi:10.64898/2026.04.15.718737](https://doi.org/10.64898/2026.04.15.718737)
- Tomkinson, J. et al. Stellar quality control for single-cell image-based profiling with coSMicQC.
- **coSMicQC ([tool page](https://cytomining.github.io/tools/cosmicqc/)):** Tomkinson, J. et al. Stellar quality control for single-cell image-based profiling with coSMicQC.
*bioRxiv* (2025).
[doi:10.1101/2025.10.14.682427](https://doi.org/10.1101/2025.10.14.682427)
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