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Spectroscopy

Fields & Applications Spectroscopy

The Phantom Lung

| Lauren Robertson

How a gas spectroscopy technique could solve critical clinical challenges in respiratory diagnostics and treatment

Techniques & Tools Spectroscopy

ToF-SIMS: A Secret Forensics Weapon?

| Lauren Robertson

How a new approach to imaging could help forensics scientists retrieve fingerprints from tricky bullet casings

Fields & Applications Spectroscopy

A Closer Look at the Fungal Armor

| Lauren Robertson

NMR spectroscopy could help scientists in the fight against antifungal resistance

Business & Education Spectroscopy

Musings from the Power List: Gary Hieftje

| Lauren Robertson

Gary Hieftje tells us about his heroes, offers advice for the next generation, and airs his views on the future of the field

Fields & Applications Spectroscopy

Casting Light into the Dark Unknowns of the Cosmos

| Lauren Robertson

Could NASA’s Roman telescope help scientists answer some of the most perplexing questions about the universe?

Business & Education Spectroscopy

Musings from the Power List: Roy Goodacre

| Lauren Robertson

Roy Goodacre talks about the biggest breakthroughs in the field, the instrument he couldn’t live without, and what he’d be doing in another life...

Fields & Applications Pharma & Biopharma

Closer to the Boundary

Work in Gwangju has brought medicine one step closer to effective membrane-permeable drugs

Fields & Applications Spectroscopy

Breath Analysis with a (Very) Fine Toothed Comb

| James Strachan

Mid-infrared cavity-enhanced direct-frequency comb spectroscopy (CE-DFCS) simultaneously detects and monitors four health biomarkers in breath

Fields & Applications Spectroscopy

Confessions of the Last French Queen

| Lauren Robertson

XRF spectroscopy reveals the truth behind Marie-Antoinette’s secret correspondence with her Swedish lover

Techniques & Tools Pharma & Biopharma

Raman Spectroscopy Predicts Immunotherapy Response

| James Strachan

Immunotherapy unmasked: Raman spectroscopy combined with machine learning predicts non-responders to immunotherapy

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