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Item #:
128455356
Biological image analysis practiced using molds ImageJ, Python, napari Experimental medicine special issue Tankobon Hardcover – March 28, 2025
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Item #:
128455356
SAR 228
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A super practical textbook where you can learn basic strategies, types of tools, and how to use them to design image analysis methods that suit your research purpose.
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What Stands Out
Comprehensive Techniques
Explore advanced biological image analysis methods using molds, enhancing research capabilities with a blend of ImageJ, Python, and napari for thorough insights.
Innovative Insights
Tap into cutting-edge methodologies in experimental medicine, providing unique perspectives and solutions to complex biological questions through practical application.
Durable Format
Experience the tangible benefits of a hardcover edition, ensuring lasting access to vital research material, ideal for both practitioners and scholars in the field.
Product Details
| Publisher | u7f8au571fu793e (March 28, 2025) |
| Publication date | March 28, 2025 |
| Language | Japanese |
| Tankobon Hardcover | 351 pages |
| ISBN-10 | 4758122806 |
| ISBN-13 | 978-4758122801 |
| Dimensions | 9.84 x 8.27 x 0.71 inches (25 x 21 x 1.8 cm) |
Who Should Buy?
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Research Scientists
Ideal for researchers focusing on biological imaging and data analysis using advanced tools like ImageJ and Python.
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Graduate Students
Excellent resource for graduate students specializing in experimental medicine or biological imaging techniques and methodologies.
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Bioinformatics Professionals
Beneficial for professionals who utilize computational methods to analyze complex biological image data effectively.
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Beginner Users
Not suitable for beginners lacking foundational knowledge in image analysis or related software tools.
Product Description
Biological image analysis practiced using molds ImageJ, Python, napari Experimental medicine special issue Tankobon Hardcover – March 28, 2025
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三浦 耕太 (Editor), 塚田 祐基 (Editor) Editorial Review
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Features & Benefits
- Master essential image analysis techniques effortlessly.
- Automate analysis without coding experience.
- Incorporate cutting-edge machine learning tools.
- Access a supportive online repository with resources.
- Learn from real-world practical applications.
- Designed for researchers looking to enhance their skills.
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