Dataset for "Model-based deep learning enables time-resolved computational microscopy"
Description
Introduction
This repository contains the experimental dataset for the paper "Model-based deep learning enables time-resolved computational microscopy" PhotoniX 7, 3 (2026) https://doi.org/10.1186/s43074-025-00222-2.
The dataset includes experimentally collected raw images from a lensless coded ptychographic microscope, along with the corresponding calibration metadata and visualizations. The associated data processing and reconstruction code is available on GitHub at https://github.com/THUHoloLab/STRIVER-deep
For further information, please contact the authors: Yunhui Gao (gyh21@mails.tsinghua.edu.cn), Liangcai Cao (clc@tsinghua.edu.cn)
Dataset structure
The tables below summarize the dataset underlying the results presented in this work. As an example, “E13/G96 (20–109)” indicates that the corresponding data can be found in the folder E13/G96 (contained within E13.zip), and the reported results were obtained using raw images indexed from 20 to 109.
Results presented in the main text
| Figure | Dataset | Description |
| Fig. 2a-c | E10/G5 | Section of a xylophyta dicotyledonous stem |
| Fig. 2d-f | E11/G1 | Quantitative phase target (QPT) |
| Fig. 3a | E13/G96 (20-109) | Paramecium specimen |
| Fig. 3b | E19/G25 (85-174) | Paramecium specimen |
| Fig. 3c, d, g | E13/G97 (70-129) | Paramecium specimen |
| Fig. 3e, f, h | E13/G97 (190-279) | Paramecium specimen |
| Fig. 3i-m | E19/G32 (50-139) | Paramecium specimen |
| Fig. 4a, b | E19/G27 (210-314) | Paramecium specimen |
| Fig. 4c, d | E19/G28 (20-94) | Paramecium specimen |
| Fig. 5a-d | E30/G15 (260-369) | Paramecia and rotifers |
| Fig. 5e-h | E30/G12 (15-124) | Paramecia and rotifers |
| Fig. 5i-m | E30/G6 (180-289) | Dense rotifer colonies |
Results presented in the supplementary document
| Figure | Dataset | Description |
| Supplementary Note Fig. 7 | E10/G3 | Section of a Parascaris equorum uterus |
| Supplementary Note Fig. 8 | E10/G4 | Thin tissue slice |
| Supplementary Note Fig. 9 | E10/G2 | Thin tissue slice |
| Supplementary Note Fig. 23 | E30/G2 (5-64) | Paramecia and rotifers |
Files
visualization.zip
Files
(12.0 GB)
| Name | Size | Download all |
|---|---|---|
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md5:6250cb5153a5593356fc6cda02d3bd7a
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3.9 GB | Preview Download |
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md5:2d0803529bc890da8772bc075e35d64e
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1.4 GB | Preview Download |
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md5:3bdda2b00faaf52675a60a667cf87d40
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1.3 GB | Preview Download |
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md5:11ea5d603d6004ad000c57d7c6846eb2
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2.4 GB | Preview Download |
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md5:2275afbe683818bedf0770bff0c95e5a
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2.6 GB | Preview Download |
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md5:a89fe1842eb3e0b4066fc450dd52c6c4
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380.6 MB | Preview Download |
Additional details
Funding
- National Natural Science Foundation of China
- 62235009
- National Natural Science Foundation of China
- 624B2080
Software
- Repository URL
- https://github.com/THUHoloLab/STRIVER-deep
- Programming language
- Python , MATLAB
References
- Y. Gao and L. Cao, "Motion-resolved, reference-free holographic imaging via spatiotemporally regularized inversion," Optica 11, 32-41 (2024)
- Y. Gao and L. Cao, "Model-based deep learning enables time-resolved computational microscopy," PhotoniX 7, 3 (2026)