1536 × 1024原文件 · 0.6 MiB
视觉设计 · 论文插图 · 外部收藏
单细胞免疫图谱
提示词
Create a polished Nature / Cell style biomedical research figure, landscape 3:2 (1536×1024), soft minimal palette, publication-ready.
Figure title: "Single-cell immune atlas reveals treatment-response states".
Layout: 4-panel figure labeled A–D.
A. Large UMAP scatter plot with 8 softly colored immune clusters; labels: "CD8 T", "CD4 T", "B cells", "NK", "Mono", "DC", "Treg", "Plasma". Use pastel teal, sage, lavender, peach, slate, amber.
B. Dot plot of marker genes with rows "GZMB", "IFNG", "CXCL13", "MS4A1", "LYZ", "FOXP3" and columns matching immune clusters; dot size = fraction, color = expression.
C. Small stacked bar chart comparing "Responder" vs "Non-responder" cell-state proportions, with 5 muted segments and a tidy legend.
D. Pseudotime trajectory diagram: a clean branching curve from "naive" to "effector" and "exhausted", with small arrows and gradient color.
Style requirements: literature-science design, white background, thin gray axes, compact legends, readable micro-labels, restrained typography, soft colors, elegant spacing, no 3D, no glossy UI, no fake journal logo, no watermark.
原始生成信息
- 平台
- 未记录
- 模型显示名
- 未记录模型
- 模型 ID
- 未记录
- 模型证据
- unknown
- 生成时间
- 未记录
来源与使用说明
- 作者
- Wuyoscar(整理)
- 贡献者
- wuyoscar/GPT-Image2-Skill
- 来源
- 查看原始来源
- Prompt 许可
- unspecified
- 媒体许可
- unspecified
收录自 GPT-Image2-Skill(上游提交 05cb1130bba29e0fc028220376280a2e934a8041,案例 No. 77)。上游仓库声明 MIT License,并要求保留图库作者和来源标注;部分案例另有第三方作者/来源,原始素材的单独授权未核实。仓库许可全文见本站项目 docs/third-party/GPT-Image2-Skill-LICENSE.txt。源图库:https://github.com/wuyoscar/GPT-Image2-Skill/blob/05cb1130bba29e0fc028220376280a2e934a8041/skills/gpt-image/references/gallery-research-paper-figures.md