• Basic Uses of Python for Resea...

Treffer: Basic Uses of Python for Research in Our Laboratory: Examples of Data Analysis, and Processing of Histological Samples Based on the Special Graduate Lecture for Postgraduate Students Presented on January 2025.

Title:
Basic Uses of Python for Research in Our Laboratory: Examples of Data Analysis, and Processing of Histological Samples Based on the Special Graduate Lecture for Postgraduate Students Presented on January 2025.
Authors:
Oliva Trejo JA
Source:
Juntendo medical journal [Juntendo Med J] 2025 Jul 31; Vol. 71 (4), pp. 231-237. Date of Electronic Publication: 2025 Jul 31 (Print Publication: 2025).
Publication Type:
Journal Article; Review
Language:
English
Journal Info:
Publisher: Juntendo Medical Society Country of Publication: Japan NLM ID: 9918993695406676 Publication Model: eCollection Cited Medium: Internet ISSN: 2759-7504 (Electronic) NLM ISO Abbreviation: Juntendo Med J Subsets: PubMed not MEDLINE
Imprint Name(s):
Original Publication: Tokyo : Juntendo Medical Society, [2024]-
References:
Nat Methods. 2019 Sep;16(9):870-874. (PMID: 31384047)
PLoS One. 2020 Oct 1;15(10):e0233198. (PMID: 33001995)
Contributed Indexing:
Keywords: AI; Python programming; data analysis; image processing; morphology
Entry Date(s):
Date Created: 20250919 Date Completed: 20250919 Latest Revision: 20250921
Update Code:
20250921
PubMed Central ID:
PMC12441172
DOI:
10.14789/ejmj.JMJ25-0015-R
PMID:
40969818
Database:
MEDLINE

Weitere Informationen

Python is one of the most popular programming languages to learn and use. It is ubiquitous in fields like data analysis, artificial intelligence, image processing, robotics, and web development. Its versatility and reliability make it ideal for major companies, including Tesla and Netflix. NASA even uses it to calibrate the James Webb Space Telescope. With the advent of artificial intelligence (AI), writing a Python program can be as simple as prompting an AI assistant for a solution. For research scientists, this lowered barrier could spark a generational change, transforming every research stage from idea conception to publishing. My interest in AI-assisted programming inspired my lecture on how Python can assist PhD students in their work. This lecture begins with basic terminology and presents three mini projects as first steps for learning Python. These projects cover text extraction and analysis, statistical data analysis, and virtually staining histological samples into digital image stacks. Small variations of these projects could lead to code that extracts reagents from manuscripts, creates stunning statistical graphs, and advances histopathological methods.
(© 2025 The Juntendo Medical Society.)

The author declare that there are no conflicts of interest.