Latest Research in Cell Image Analysis Techniques
17 research papers · 2026 median publication year
Top Research Topics in Cell Image Analysis Techniques
- Single-cell and spatial transcriptomics — 8 papers
- Cell Image Analysis Techniques — 2 papers
- Genomics — 2 papers
- Machine Learning — 1 papers
- Methodology — 1 papers
- Quantitative Methods — 1 papers
- Genomics and Chromatin Dynamics — 1 papers
- Molecular Networks — 1 papers
Highest-Cited Papers
- scTrans-SVD: dual-view learning with a low-rank representation for label-limited cell type annotation in single-cell transcriptomics
- Regulatory-prior-guided attention preserves biological structure during unpaired single-cell RNA–ATAC integration
- Data-Driven Soft Labeling Scales DNA Read Classification to Whole-Body Cell-Type Deconvolution
- napari‐lattice: A user‐friendly image processing tool for lattice light‐sheet microscopy data
- RegPathTopic: deterministic regulatory-path topic modeling with traceable regulatory vocabularies for single-cell annotation
- Dynamic Supervised Prelabel Diffusion for Single-Cell Clustering
- Nonparametric Hypothesis Testing of High-dimensional Clustering With Application to Single-cell RNA Data
- Subcellularly Resolved Single-Cell Embedding Learning with Transcriptomic data, Protein Structure and Localization Information
- Artificial Intelligence-Powered High-Content Analysis: Methodologies and Applications in Bioactive Compound Discovery from Natural Sources
- JUMP-lite: Compact, reproducible benchmarking of cell representations
- Robust annotation and discovery of novel cell types in single-cell ATAC-seq data through cross-modal reference alignment
- Hi-Cformer enables multiscale chromatin contact map modeling for single-cell Hi-C data analysis
- Confounder-Aware Feature Correction for Single-Cell Batch Integration
- From Cluster to Claim: Calibrating Interpretation in Single‐Cell Transcriptomics
- SCENE: A Framework for Single-cell Gene Co-expression Network Analysis Across Cell Types and Conditions
- CYTO 2026—Concluding Thoughts on the Next Wave of Cytometry From the Conference Chairs
- Uncovering Cellular Resolution in scRNAseq via Unbiased Cell and Gene Network Analysis