Discover the Latest in Biomedical Research Innovation

An audit of 200 published animal studies found only 22% had replicated the right thing, and 46% counted repeated measurements of one biological unit as independent samples. That error, pseudoreplication, inflates your n, shrinks your error bars, and manufactures significance that won't replicate. Here's what separates technical vs biological replicates, why the mistake inflates false positives, and what actually counts as a biological replicate in cell culture.

A no-fluff, step-by-step scratch assay imaging protocol for images your software can actually measure. Twenty-six numbered steps take you from pixel calibration and Köhler alignment, through Time 0 capture with locked exposure, to returning to identical fields at later time points. Includes an equipment table, an acceptance-criteria checklist to run before you analyze, and a troubleshooting table mapping every common symptom to the step that fixes it.

A no-fluff, step-by-step cell imaging protocol for microscopy images you can actually quantify. Eighteen numbered steps take you from Köhler setup and pixel calibration, through setting exposure on your brightest sample so nothing saturates, to acquiring the whole set under locked, identical settings. Works for brightfield, phase contrast, and fluorescence. Includes an equipment table, an acceptance-criteria checklist, and a troubleshooting table mapping each symptom to the s

Your p-value can confirm an effect is real and say nothing about whether it's big enough to matter. Effect size answers that second question, and for a two-group comparison Cohen's d is the standard measure: the mean difference divided by the pooled standard deviation. This guide covers how to calculate and report Cohen's d, why to report it alongside every p-value and confidence interval, and how to interpret it without leaning on the 0.2/0.5/0.8 benchmarks that often don't

A perfect scratch becomes unusable if the field drifts out of focus, the illumination shifts between time points, or the wound edges are too low-contrast to segment. The biggest scratch assay imaging mistakes aren't dramatic failures, they're small inconsistencies that quietly distort wound area. This guide covers the imaging principles behind reproducible wound healing assays on any microscope: imaging mode, objectives, Köhler illumination, and locking your optics.

You asked to get CytCut onto your bench now instead of waiting, so here it is. CytCut 3.5 is available for immediate order at $36, in 24- and 48-well, the same wound healing assay tool that turns minutes of pipette scratching into seconds of consistent, reproducible wounds. It's UV- and alcohol-sanitizable with a 3–6 month working life. The autoclavable CytCut 4.0 is still on track for end of September at $99 pre-order. Order 3.5 with code cytcut352673 for $15 off through Jul

The frustrating hunt for the perfect lab protocol is officially over. We are thrilled to announce the launch of Soφ 2.0, a revolutionary update to our AI lab assistant. We’ve supercharged Soφ to be more than just a protocol finder; it's now a comprehensive research partner. Featuring a faster, smarter engine and a vastly expanded knowledgebase, Soφ 2.0 introduces game-changing capabilities.

Stop searching for vague lab protocols. Soφ AI is the revolutionary, free AI assistant that instantly generates reliable, customized procedures for any biomedical assay. Simply input your specific materials—cell lines, reagents, and equipment—and Soφ AI delivers a dynamic, step-by-step protocol tailored just for you. It's designed to help researchers at all levels learn new techniques faster, troubleshoot experiments intelligently, and accelerate the pace of scientific discov

Dive into the transformative world of biotech innovation! Discover 20 groundbreaking developments, from AI-driven drug discovery and CRISPR gene editing to cellular anti-aging and advanced therapeutic delivery systems. Learn how brain mapping, living medicines, and AI-powered cell culture monitoring like Cadmus are revolutionizing healthcare, agriculture, and our understanding of life.