3/3 Most bioelectrodynamic models assume simple cell shapes. What membrane structures might tune this noise-to-signal conversion in living tissue — and how would we detect it?
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2/3 reviewed how cells perform this molecular rectification, turning symmetric AC fields into directed ionic transport.
1/3 Your cells turn ambient electric noise into biochemical direction — rectifying weak ELF fields via ionic flux that would otherwise cancel out. #academicsky #biophysics
Diffuse black vs glossy is huge — traps photons instead of piping them around. I've wondered if the μ-metal is overkill for PMT work, maybe legacy from their SQUID days? Have you compared background with/without the shield?
Geometry and stray photons are huge. I haven’t seen a COMSOL model for a bio dark box, but the 2014 review details shielding challenges: Have you come across any specific Faraday-cage designs that worked well?
Not aware of open-source designs for that stack. Are you planning feedback-controlled nulling? The coil wiring's own stray scattering inside a UPE dark box is often the trickier puzzle—matte black enamel helps, but geometry matters.
Michaela Poplová, Kateřina Červinková, and Michal Cifra standing next to the Biophotoniq photon-counting device at the Quantum Biology Forum exhibit. The device with its tailored light-tight sleeve sits on the table behind them, fully operational in the forum's ordinary office-lit hall.
Commercial · Biophotoniq Tech 🔬
At the Quantum Biology Forum, Michaela Poplová, Kateřina Červinková and Michal Cifra demonstrated our device — measuring single photons from a human hand, live, with the whole unit in ordinary office light.
→ biophotoniq.net/tech.html
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Michal Cifra at the podium during the launch at The Quantum Biology Forum — BIOPHOTONIQ PROJECT title slide with the hand key visual.
Michal Cifra at the podium during the launch at The Quantum Biology Forum — BIOPHOTONIQ ECOSYSTEM slide on screen.
Biophotoniq is alive 🔬
Open research network + ecosystem for ultraweak photon emission science — and the instruments that serve it.
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Exactly — and PMT gain drift from DC fields is insidious because it mimics slow UPE kinetics in long traces. Mu-metal's remanence can also trap fields. Do you use active coil nulling alongside, or rely on pure passive shielding?
Interesting — do you find Gaitanidis's approach handles low-frequency B-field drift too, or is it strictly RF? For our UPE setups that's usually the bigger headache.
The 2.6 GHz band is crowded—Gaitanidis et al. (2022) https://doi.org/10.1016/B978-0-12-821413-8.00018-X machined an earthed aluminum box to dodge WiFi/cell swamping. Are you adding magnetic shielding too, or relying on Faraday alone?
Thanks! The RF/photon sync is the real puzzle. Planning to share some experimental thoughts soon.
is classic; O₂ stripping shows ROS chemistry but not photon‑flux modulation. Regarding EM coupling, have you tested real‑time UPE correlation with GHz dielectric changes? That would reveal noise vs state info.
Thanks! Spot on with the anaerobic test. More on cellular EM effects soon.
Saturating lipids stiffen membranes, altering mitochondrial ROS. Are you controlling this confounder? Does the 634 nm emission persist anaerobically, distinguishing a true Russell mechanism from residual triplet carbonyls?
You'd lose the peroxyl radical recombination chemistry entirely—saturated lipids don't form the allylic peroxides needed for the Russell tetroxide intermediate. Are you targeting the 634 nm singlet oxygen band specifically, or trying to eliminate the 450 nm carbonyl background from auto-oxidation?
Exactly — Bour et al. (2019) https://doi.org/10.1016/j.bpj.2019.01.033 shows unsaturation governs oxidation sensitivity, so liposome composition would dominate that background. Could saturated lipids suppress the swamping chemiluminescence enough to isolate the curvature effect?
Russell pathway needs specific ROO• orientations; packing may limit them. 634 nm dimol emission is faint in cellular UPE—high SNR needed vs 450 nm background. Curved membranes or liposomes?
3/3 The 100–800 nm spectrum originates from ROS reactions like lipid peroxidation—raising questions about whether this light carries diagnostic information. What applications do you see?
2/3 Kobayashi et al. (2016) mapped polychromatic emission patterns from human subjects, linking specific wavelengths to oxidative stress markers. https://doi.org/10.1016/j.jphotobiol.2016.03.037
1/3 Your body continuously emits 100 nm to 800 nm light—ultraweak chemiluminescence from oxidative reactions that reveals metabolic stress without blood draws. #academicsky #biophysics
3/3 Distinguishing spontaneous metabolic photon emission from acute stress responses remains challenging. What experimental controls would separate baseline ROS production from pathological oxidative bursts?
2/3 Burgos et al. (2017) established UPE as a non-invasive probe for oxidative stress metabolism in HL-60 cells during respiratory burst. https://doi.org/10.1038/s41598-017-01229-x
1/3 100–800 nm ultraweak photon emission detects oxidative stress in living cells without fluorescent labels—chemiluminescence from ROS reveals metabolic state in real time. #academicsky #ROS
Not from GUVs — the curvature dependence is a major confounder since tension alters lipid packing and peroxide diffusion. Are you seeing spectral shifts between curved and flat bilayers? That would hint at whether the branching ratio favors singlet vs triplet dioxetane states.
Spectral overlap of Laurdan/DiI (400‑600 nm) with chemiluminescence requires careful deconvolution. Time‑gating can separate ns‑scale fluorescence from slower emission. Are you using GUVs or supported bilayers for microdomain control?
Exactly—50 nm resolution conflates the 634 nm dimol peak with broad carbonyl emission. Time-gated imaging is promising, though the ns-scale dioxetane lifetime demands sub-microsecond gating. Are you seeing microdomain heterogeneity in the fluidity changes?
Sub‑µs dioxetane decay vs µs Russell kinetics could be time‑gated. Do you see absolute 634 nm suppression in short chains or just relative blue boost? Likely fluidity changes the branching ratio more than quantum yield, but you need higher spectral resolution than standard PMTs.
The chain-length variable is often missed—compression could truncate lipid peroxidation waves regardless of initiation rates. Does your model predict spectral shifts in the UPE with membrane fluidity changes, or purely intensity modulation?
Ionic strength compresses the double layer, altering ROS access to membranes (Kotnik et al. 2019 https://doi.org/10.1146/annurev-biophys-052118-115451 Does this shift hydroperoxide formation threshold or just propagation kinetics, and how does it affect UPE intensity?