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Imaging Biological Samples with Optical Microscopy

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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

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Related Experiment Video

Updated: Mar 14, 2026

Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats

Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats

Published on: January 10, 2019

Practical guide to statistical reporting in optical imaging.

Xiaojun Cheng¹, Emily P Stephen², Meryem A Yücel¹

¹Boston University, Neurophotonics Center, Biomedical Engineering Department, Boston, Massachusetts, United States.

|March 13, 2026

Summary

This summary is machine-generated.

Reproducible neurophotonics research requires clear statistical reporting. This guide offers practical rules and examples for precise reporting of statistical values, aiding students and researchers in optical imaging data analysis.

Keywords:

optical imaging precision statistical reporting

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Last Updated: Mar 14, 2026

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Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

Area of Science:

Neurophotonics
Optical Imaging
Biomedical Optics

Background:

Reproducibility in scientific research, particularly in neurophotonics, hinges on clear and consistent reporting of statistical values.
Inconsistent rounding and formatting of statistical data present challenges, especially for novice researchers and students.
Accurate statistical reporting is crucial for the validation and interpretation of findings in optical imaging studies.

Purpose of the Study:

To present a standardized, practical procedure for reporting statistical results in neurophotonics research.
To provide clear guidelines on appropriate precision for statistical values like means, standard deviations, confidence intervals, p-values, correlations, and test statistics.
To serve as a quick reference for authors, students, and reviewers involved in optical imaging data analysis.

Main Methods:

Development of step-by-step rules for statistical reporting.
Inclusion of illustrative examples demonstrating correct statistical formatting.
Creation of a summary table for easy reference.

Main Results:

A concise and practical procedure for reporting statistical results with appropriate precision.
Standardized guidelines to address common issues of inconsistent rounding and unclear formatting.
A valuable resource for enhancing the clarity and reproducibility of neurophotonics research.

Conclusions:

Adherence to the presented guidelines will improve the consistency and clarity of statistical reporting in neurophotonics.
This technical note serves as an essential tool for researchers, students, and reviewers to ensure accurate data interpretation.
Implementing these standards facilitates greater reproducibility in the field of optical imaging and neurophotonics.