GPT-Image-2 Example · Single-Cell Immune Atlas

A reference case from the "Research Paper Figures" collection showcasing GPT-Image-2, suitable for generating effects in the "Single-Cell Immune Atlas" field.

Author: AI Plus Lab

✦Results

⌘Prompt Content

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.

✎Outcome Notes

This case has been migrated from the GPT-Image2-Skill README to AIPlusLab `/prompts` for convenient on-site search, browsing, and reuse.