
This dataset supports the manuscript titled "Deep Learning Based Image Compression for Microscopy Images: An Empirical Study." The materials provided are essential for replicating the experiments in the study. The dataset is divided into three main parts: Config: train and test yaml config files for both 2D and 3D mmv_im2im labelfree task Sample_data: sample data to test the compression and the downstream labelfree code, in both 2D and 3D case. Model: fine-tuned 2D/3D labelfree model and 3D compression model. We use pre-trained 2D compression models from CompressAI
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
