| scholarly article | Q13442814 |
| P356 | DOI | 10.1364/OSAC.393971 |
| P2093 | author name string | Gabriella Cincotti | |
| Massimiliano Lucidi | |||
| Lorenzo Nichele | |||
| Valeria Persichetti | |||
| P2860 | cites work | Computational framework for simulating fluorescence microscope images with cell populations | Q30832855 |
| A biosegmentation benchmark for evaluation of bioimage analysis methods | Q33514149 | ||
| A Novel Computerized Cell Count Algorithm for Biofilm Analysis | Q36009438 | ||
| Deep learning approach to bacterial colony classification. | Q40041267 | ||
| Comparison of two automatic cell-counting solutions for fluorescent microscopic images | Q40811874 | ||
| Automatic cell counting in vivo in the larval nervous system of Drosophila | Q42284640 | ||
| A unified framework for automated 3-d segmentation of surface-stained living cells and a comprehensive segmentation evaluation. | Q46019722 | ||
| Comparison of segmentation algorithms for fluorescence microscopy images of cells. | Q51557979 | ||
| Survey over image thresholding techniques and quantitative performance evaluation | Q56083631 | ||
| HIF1A signaling selectively supports proliferation of breast cancer in the brain | Q56883100 | ||
| A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets | Q89558127 | ||
| P4510 | describes a project that uses | ImageJ | Q1659584 |
| P433 | issue | 6 | |
| P921 | main subject | ImageJ | Q1659584 |
| P6104 | maintained by WikiProject | WikiProject Software | Q15659621 |
| P304 | page(s) | 1417 | |
| P577 | publication date | 2020-05-27 | |
| P1433 | published in | OSA Continuum | Q73379258 |
| P1476 | title | Quantitative evaluation of ImageJ thresholding algorithms for microbial cell counting | |
| P478 | volume | 3 |
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