
Show Notes
Scientists have studied bacteria under microscopes for 400 years. But Yonatan Chemla, a postdoctoral fellow at MIT, has developed a technology that lets us see microbes from a drone 100 meters in the air. In this episode, we discuss the emerging field of "hyperspectral biology," which uses hyperspectral cameras (first built by NASA in the 1980s) to detect molecules with unique light-absorption signatures. With this technology, you could engineer a microbe to sense a landmine, for example, and release a pigment in response. A drone could then spot that pigment from hundreds of meters away. By spraying other types of engineered microbes over a field, they could map heavy metals, report on soil health, or find gold deposits. But almost none of this can happen in the United States. The EPA regulates engineered microbes as chemicals under the Toxic Substances Control Act, a 1976 law that never mentions biology, and the agency seems to have approved just one product through it. As a result, many of biotechnology's most useful ideas — microbes that break down plastic, sense landmines, or remove pollution from water — never leave the laboratory. Chapters: [00:00:00] Introduction [00:04:08] Applications for hyperspectral biology [00:07:33] How to build a biosensor [00:13:00] Molecular absorption data [00:22:12] How hyperspectral cameras work [00:38:15] Spatial resolution and satellite monitoring [00:51:04] Regulations around environmental release [01:08:44] Risk vs progress Further Reading: Summary of the Toxic Substances Control Act, EPA: https://www.epa.gov/laws-regulations/summary-toxic-substances-control-act Design and regulation of engineered bacteria for environmental release, Nature Microbiology: https://www.nature.com/articles/s41564-024-01918-0 Hyperspectral reporters for long-distance and wide-area detection of gene expression in living bacteria, Nature Biotechnology: https://www.nature.com/articles/s41587-025-02622-y Seeing microbes from the sky, Asimov Press: https://press.asimov.com/articles/hyperspectral
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