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Add support for generating scientific illustrations using Nano Banan Pro and Flux.2 Pro
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Timothy Kassis
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docs/examples.md
147
docs/examples.md
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17. [Clinical Research & Real-World Evidence](#clinical-research--real-world-evidence)
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18. [Experimental Physics & Data Analysis](#experimental-physics--data-analysis)
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19. [Chemical Engineering & Process Optimization](#chemical-engineering--process-optimization)
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20. [Scientific Illustration & Visual Communication](#scientific-illustration--visual-communication)
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---
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@@ -2490,6 +2491,152 @@ Expected Output:
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---
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## Scientific Illustration & Visual Communication
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### Example 20: Creating Publication-Ready Scientific Figures
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**Objective**: Generate and refine scientific illustrations, diagrams, and graphical abstracts for publications and presentations.
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**Skills Used**:
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- `generate-image` - AI image generation and editing
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- `matplotlib` - Data visualization
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- `scientific-visualization` - Best practices
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- `scientific-writing` - Figure caption creation
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- `reportlab` - PDF report generation
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**Workflow**:
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```bash
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Step 1: Plan visual communication strategy
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- Identify key concepts that need visual representation:
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* Experimental workflow diagrams
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* Molecular structures and interactions
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* Data visualization (handled by matplotlib)
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* Conceptual illustrations for mechanisms
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* Graphical abstract for paper summary
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- Determine appropriate style for target journal/audience
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- Sketch rough layouts for each figure
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Step 2: Generate experimental workflow diagram
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- Use generate-image skill with detailed prompt:
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"Scientific illustration showing a step-by-step experimental
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workflow for CRISPR gene editing: (1) guide RNA design at computer,
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(2) cell culture in petri dish, (3) electroporation device,
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(4) selection with antibiotics, (5) sequencing validation.
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Clean, professional style with numbered steps, white background,
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suitable for scientific publication."
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- Save as workflow_diagram.png
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- Review and iterate on prompt if needed
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Step 3: Create molecular interaction schematic
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- Generate detailed molecular visualization:
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"Scientific diagram of protein-ligand binding mechanism:
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show receptor protein (blue ribbon structure) with binding pocket,
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small molecule ligand (ball-and-stick, orange) approaching,
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key hydrogen bonds indicated with dashed lines, water molecules
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in binding site. Professional biochemistry illustration style,
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clean white background, publication quality."
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- Generate multiple versions with different angles/styles
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- Select best representation
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Step 4: Edit existing figures for consistency
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- Load existing figure that needs modification:
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python scripts/generate_image.py "Change the background to white
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and make the protein blue instead of green" --input figure1.png
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- Standardize color schemes across all figures
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- Edit to match journal style guidelines:
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python scripts/generate_image.py "Remove the title text and
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increase contrast for print publication" --input diagram.png
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Step 5: Generate graphical abstract
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- Create comprehensive visual summary:
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"Graphical abstract for cancer immunotherapy paper: left side
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shows tumor cells (irregular shapes, red) being attacked by
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T cells (round, blue). Center shows the drug molecule structure.
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Right side shows healthy tissue (green). Arrow flow from left
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to right indicating treatment progression. Modern, clean style
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with minimal text, high contrast, suitable for journal TOC."
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- Ensure dimensions meet journal requirements
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- Iterate to highlight key findings
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Step 6: Create conceptual mechanism illustrations
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- Generate mechanism diagrams:
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"Scientific illustration of enzyme catalysis mechanism:
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Show substrate entering active site (step 1), transition state
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formation with electron movement arrows (step 2), product
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release (step 3). Use standard biochemistry notation,
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curved arrows for electron movement, clear labeling."
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- Generate alternative representations for supplementary materials
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Step 7: Produce presentation-ready figures
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- Create high-impact visuals for talks:
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"Eye-catching scientific illustration of DNA double helix
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unwinding during replication, with DNA polymerase (large
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green structure) adding nucleotides. Dynamic composition,
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vibrant but professional colors, dark background for
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presentation slides."
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- Adjust style for poster vs slide format
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- Create versions at different resolutions
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Step 8: Generate figure panels for multi-part figures
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- Create consistent series of related images:
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"Panel A: Normal cell with intact membrane (green outline)
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Panel B: Cell under oxidative stress with damaged membrane
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Panel C: Cell treated with antioxidant, membrane recovering
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Consistent style across all panels, same scale, white background,
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scientific illustration style suitable for publication."
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- Ensure visual consistency across panels
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- Annotate with panel labels
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Step 9: Edit for accessibility
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- Modify figures for colorblind accessibility:
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python scripts/generate_image.py "Change the red and green
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elements to blue and orange for colorblind accessibility,
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maintain all other aspects" --input figure_v1.png
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- Add patterns or textures for additional differentiation
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- Verify contrast meets accessibility standards
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Step 10: Create supplementary visual materials
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- Generate additional context figures:
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"Anatomical diagram showing location of pancreatic islets
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within the pancreas, cross-section view with labeled structures:
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alpha cells, beta cells, blood vessels. Medical illustration
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style, educational, suitable for supplementary materials."
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- Create protocol flowcharts and decision trees
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- Generate equipment setup diagrams
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Step 11: Compile figure legends and captions
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- Use scientific-writing skill to create descriptions:
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* Figure number and title
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* Detailed description of what is shown
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* Explanation of symbols, colors, and abbreviations
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* Scale bars and measurement units
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* Statistical information if applicable
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- Format according to journal guidelines
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Step 12: Assemble final publication package
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- Organize all figures in publication order
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- Create high-resolution exports (300+ DPI for print)
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- Generate both RGB (web) and CMYK (print) versions
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- Compile into PDF using ReportLab:
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* Title page with graphical abstract
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* All figures with captions
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* Supplementary figures section
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- Create separate folder with individual figure files
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- Document all generation prompts for reproducibility
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Expected Output:
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- Complete set of publication-ready scientific illustrations
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- Graphical abstract for table of contents
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- Mechanism diagrams and workflow figures
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- Edited versions meeting journal style guidelines
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- Accessibility-compliant figure versions
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- Figure package with captions and metadata
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- Documentation of prompts used for reproducibility
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```
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---
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## Summary
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These examples demonstrate:
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