๐Ÿงฌ LearnViz Biology

๐Ÿ“Š Lab Methods & Biostatistics

Scientific method, microscopy, techniques and data analysis.

Lab Methods & Biostatistics has 51 topics on LearnViz, graded from Beginner to Advanced. Pick a topic below to read its explanation, examples, FAQs and related links.

What is Lab Methods & Biostatistics?

Lab methods and biostatistics teach you how biological data are collected, analysed and interpreted. It covers microscopy, sampling, experimental design, statistical tests and how to tell a real effect from chance.

Beginner topics (15)

Beginner

Scientific Method

A process of asking a question, forming a hypothesis, testing it with experiments and drawing conclusions.

๐Ÿ“Š Lab Methods & Biostatistics
Beginner

Hypothesis

A testable explanation for an observation that can be supported or refuted by evidence.

๐Ÿ“Š Lab Methods & Biostatistics
Beginner

Variables

The independent variable is changed, the dependent variable is measured and controlled variables are kept constant.

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Beginner

Control Group

A group that does not receive the treatment, used as a baseline for comparison.

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Beginner

Light Microscope

Uses lenses and visible light to magnify specimens up to about 1500 times.

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Beginner

Magnification and Resolution

Magnification enlarges an image, while resolution is the ability to distinguish two close points.

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Beginner

Scale Bars and Calculations

Actual size equals image size divided by magnification, a key skill in microscopy.

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Beginner

Staining Techniques

Dyes such as iodine and methylene blue increase contrast so cell parts are visible.

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Beginner

Measuring and Units

Biology uses metric units such as millimetres, micrometres and nanometres for tiny structures.

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Beginner

Lab Safety

Following procedures for glassware, chemicals, biological samples and disposal prevents accidents.

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Beginner

Tables and Graphs

Data are recorded in tables and plotted as line graphs, bar charts and scatter plots.

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Beginner

Mean, Median and Mode

Measures of central tendency summarising a data set.

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Beginner

Reliability and Validity

Reliable results are repeatable; valid results measure what they claim to measure.

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Beginner

Sampling

Selecting a representative subset of a population to study using methods such as random quadrats.

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Beginner

Ethics in Research

Experiments involving humans or animals must follow consent, welfare and honesty guidelines.

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Intermediate topics (18)

Intermediate

Electron Microscopy

TEM and SEM use electron beams to achieve resolution thousands of times better than light microscopes.

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Intermediate

Cell Fractionation

Homogenising and centrifuging cells to separate organelles by density.

๐Ÿ“Š Lab Methods & Biostatistics
Intermediate

Chromatography

Separates mixtures, such as pigments, by their different movement through a stationary phase.

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Intermediate

Colorimetry

Measures the colour intensity of a solution to estimate concentration.

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Intermediate

Spectrophotometry

Determines how much light of a given wavelength a sample absorbs, linked to concentration by the Beer-Lambert law.

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Intermediate

Aseptic Culture Technique

Sterile handling prevents contamination when growing microbes or cells.

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Intermediate

Serial Dilution

Stepwise dilution of a sample by a constant factor to obtain countable concentrations.

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Intermediate

Quadrats and Transects

Standard sampling tools used to estimate species abundance and distribution along gradients.

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Intermediate

Mark-Release-Recapture

Estimates population size using the ratio of marked individuals recaptured in a second sample.

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Intermediate

Standard Deviation

A measure of spread showing how far values typically lie from the mean.

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Intermediate

Standard Error and Error Bars

The standard error reflects the precision of a mean and is often displayed as error bars.

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Intermediate

Correlation and Causation

Two variables moving together does not show that one causes the other.

๐Ÿ“Š Lab Methods & Biostatistics
Intermediate

Chi-Squared Test

Compares observed and expected counts, for example testing Mendelian ratios.

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Intermediate

t-Test

A test for significant differences between the means of two groups.

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Intermediate

Null Hypothesis

The default assumption of no effect or difference, which data may lead us to reject.

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Intermediate

Immunofluorescence

Fluorescent-labelled antibodies reveal the location of proteins in cells and tissues.

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Intermediate

ELISA

An antibody-based assay that detects and quantifies proteins or antibodies in samples.

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Intermediate

Flow Cytometry

Cells pass through a laser one at a time and are counted and characterised by fluorescent markers.

๐Ÿ“Š Lab Methods & Biostatistics

Advanced topics (18)

Advanced

Confocal Microscopy

Uses pinholes to remove out-of-focus light, giving sharp optical sections of thick specimens.

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Advanced

Super-Resolution Microscopy

Techniques such as STORM and STED beat the diffraction limit to image structures down to tens of nanometres.

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Advanced

Fluorescent Proteins

GFP and relatives let researchers tag and watch proteins in living cells.

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Advanced

FRET

Energy transfer between two fluorophores reports on molecular distances and interactions.

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Advanced

Mass Spectrometry

Measures mass-to-charge ratios to identify and quantify proteins and metabolites.

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Advanced

NMR in Biology

Nuclear magnetic resonance reveals structures and dynamics of molecules in solution.

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Advanced

Statistical Power

The probability of detecting a true effect, determined by sample size, effect size and variability.

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Advanced

P-Values and Multiple Testing

P-values give the probability of data under the null; corrections like Bonferroni control false positives across many tests.

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Advanced

ANOVA

Compares means across three or more groups by partitioning variance.

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Advanced

Regression Analysis

Models the relationship between variables, predicting a response from one or more predictors.

๐Ÿ“Š Lab Methods & Biostatistics
Advanced

Bayesian Statistics

Updates probabilities for hypotheses using prior knowledge and observed data.

๐Ÿ“Š Lab Methods & Biostatistics
Advanced

Experimental Design

Randomisation, replication, blocking and blinding reduce bias and confounding.

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Advanced

Meta-Analysis

Combines results from many studies to estimate an overall effect size.

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Advanced

Reproducibility in Science

Open data, preregistration and clear methods help others verify findings.

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Advanced

Bioimage Analysis

Software tools segment and quantify cells and structures in microscopy images.

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Advanced

Phylogenetic Statistics

Bootstrap and posterior probabilities measure confidence in the branches of evolutionary trees.

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Advanced

Model Organisms

Species like E. coli, yeast, Arabidopsis, zebrafish and mice are used because they are tractable and informative.

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Advanced

Laboratory Automation

Robotics and high-throughput screening let thousands of experiments run in parallel.

๐Ÿ“Š Lab Methods & Biostatistics

Use cases

Frequently asked questions

How many topics are covered in Lab Methods & Biostatistics?

Lab Methods & Biostatistics has 51 topics on LearnViz: 15 Beginner, 18 Intermediate and 18 Advanced. Each one has its own page with an explanation, use cases, FAQs and related topics.

Where should a beginner start in Lab Methods & Biostatistics?

Start with the Beginner topics, such as Scientific Method, Hypothesis, Variables. Once those terms feel familiar, move on to the Intermediate topics.

What are the most advanced topics in Lab Methods & Biostatistics?

The Advanced level includes Confocal Microscopy, Super-Resolution Microscopy, Fluorescent Proteins, FRET, Mass Spectrometry. Read the Beginner and Intermediate topics first, because the Advanced ones build on them.

Can I test my knowledge of Lab Methods & Biostatistics?

Yes. The Lab Methods & Biostatistics quiz asks questions generated from the topic explanations, and the timed tests on LearnViz cover the same material.

What does a p-value mean?

It is the probability of getting results at least as extreme as yours if the null hypothesis were true. It is not the probability that the hypothesis is true.

Why do we need a control group?

A control shows what happens without the treatment, so any difference in the treated group can be attributed to the treatment rather than to other factors.

What is the difference between accuracy and precision?

Accuracy is how close a measurement is to the true value. Precision is how consistent repeated measurements are with each other.

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