scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bmcbi/WangL17 |
P6179 | Dimensions Publication ID | 1084249979 |
P356 | DOI | 10.1186/S12859-017-1604-1 |
P932 | PMC publication ID | 5364575 |
P698 | PubMed publication ID | 28335722 |
P50 | author | Zhenzhou Wang | Q87652584 |
P2093 | author name string | Haixing Li | |
P2860 | cites work | Applications of nanoparticles in biology and medicine | Q24562054 |
Automatic identification of fluorescently labeled brain cells for rapid functional imaging | Q28749185 | ||
Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning | Q30485759 | ||
Visualization and correction of automated segmentation, tracking and lineaging from 5-D stem cell image sequences | Q30613676 | ||
SR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data | Q30991819 | ||
Current methods in medical image segmentation | Q32032136 | ||
Automated image segmentation of haematoxylin and eosin stained skeletal muscle cross-sections | Q33839144 | ||
Cellular imaging: Taking a long, hard look | Q34133264 | ||
ACME: automated cell morphology extractor for comprehensive reconstruction of cell membranes | Q34510104 | ||
Bacterial cell identification in differential interference contrast microscopy images. | Q34687267 | ||
FogBank: a single cell segmentation across multiple cell lines and image modalities | Q34993585 | ||
Seeing things: from microcinematography to live cell imaging | Q35015592 | ||
Segmentation and quantification of subcellular structures in fluorescence microscopy images using Squassh. | Q35094080 | ||
Optimal detection angle in sub-diffraction resolution photothermal microscopy: application for high sensitivity imaging of biological tissues | Q35336729 | ||
SMASH - semi-automatic muscle analysis using segmentation of histology: a MATLAB application. | Q35563234 | ||
Identification of cell types from single-cell transcriptomes using a novel clustering method. | Q35585889 | ||
CellSegm - a MATLAB toolbox for high-throughput 3D cell segmentation. | Q37363802 | ||
Nanoparticles and their applications in cell and molecular biology | Q37397058 | ||
Subcellular control of Rac-GTPase signalling by magnetogenetic manipulation inside living cells | Q42824918 | ||
Accurate cell segmentation in microscopy images using membrane patterns | Q47767867 | ||
Survey over image thresholding techniques and quantitative performance evaluation | Q56083631 | ||
HIF1A signaling selectively supports proliferation of breast cancer in the brain | Q56883100 | ||
P433 | issue | 1 | |
P304 | page(s) | 189 | |
P577 | publication date | 2017-03-23 | |
P1433 | published in | BMC Bioinformatics | Q4835939 |
P1476 | title | Generalizing cell segmentation and quantification | |
P478 | volume | 18 |
Q60932303 | A software tool for the quantification of metastatic colony growth dynamics and size distributions in vitro and in vivo |
Q90485451 | Cell Segmentation for Image Cytometry: Advances, Insufficiencies, and Challenges |
Q91327415 | Robust Cell Detection and Segmentation for Image Cytometry Reveal Th17 Cell Heterogeneity |
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