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app.py
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@@ -50,14 +50,13 @@ This space demonstrates the ML-SIM method for reconstruction of structured illum
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_Charles N. Christensen<sup>1,2,*</sup>, Edward N. Ward<sup>1</sup>, Meng Lu<sup>1</sup>, Pietro Lio<sup>2</sup>, Clemens F. Kaminski_</br></br>
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<sup>1</sup>University of Cambridge, Department of Chemical Engineering and Biotechnology, Laser Analytics Group</br>
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<sup>2</sup>University of Cambridge, Department of Computer Science and Technology, Artificial Intelligence Group</br>
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<sup> *</sup>**Author of this repository**:
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- GitHub: [charlesnchr](http://github.com/charlesnchr)
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- Email: [email protected]
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---
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## 🔬 To
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Upload a TIFF image and hit submit or select one from the examples below.
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"""
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@@ -68,7 +67,7 @@ article = """
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- <a href='https://ML-SIM.com' target='_blank'>ML-SIM.com</a>
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- <a href='https://charles-christensen.com' target='_blank'>Website</a>
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- <a href='https://github.com/charlesnchr/ML-SIM' target='_blank'>Github</a>
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- <a href='https://
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"""
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# inputs = gr.inputs.Image(label="Upload a TIFF image", type = 'pil', optional=False)
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_Charles N. Christensen<sup>1,2,*</sup>, Edward N. Ward<sup>1</sup>, Meng Lu<sup>1</sup>, Pietro Lio<sup>2</sup>, Clemens F. Kaminski_</br></br>
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<sup>1</sup>University of Cambridge, Department of Chemical Engineering and Biotechnology, Laser Analytics Group</br>
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<sup>2</sup>University of Cambridge, Department of Computer Science and Technology, Artificial Intelligence Group</br>
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- GitHub: [charlesnchr](http://github.com/charlesnchr)
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- Email: [email protected]
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- Publication: <a href='https://opg.optica.org/boe/viewmedia.cfm?uri=boe-12-5-2720&html=true'
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target='_blank'>Journal</a>, <a href='https://arxiv.org/abs/2003.11064' target='_blank'>Preprint</a>
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---
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## 🔬 To run ML-SIM
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Upload a TIFF image and hit submit or select one from the examples below.
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"""
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- <a href='https://ML-SIM.com' target='_blank'>ML-SIM.com</a>
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- <a href='https://charles-christensen.com' target='_blank'>Website</a>
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- <a href='https://github.com/charlesnchr/ML-SIM' target='_blank'>Github</a>
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- <a href='https://twitter.com/charlesnchr' target='_blank'>Twitter</a>
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"""
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# inputs = gr.inputs.Image(label="Upload a TIFF image", type = 'pil', optional=False)
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