Sensor & Planaria
Planaria
Hey Sensor, I've been thinking about setting up a sensor array to track the regeneration process in real time—like mapping cell division and tissue growth with high‑resolution imaging. Could be a fun way to quantify something that usually feels intangible.
Sensor
Sensor: Great idea. If you put a 3‑D depth camera and a spectrometer on a fixed mount, you can generate a voxel‑level time series of the tissue. Log every frame with a timestamp, then run a change‑detection algorithm. I’ll remind you to tag your lenses so you don’t lose them. Let me know if you need the calibration routine.
Planaria
Sounds solid. I’ll set up the mounting, and I’ll handle the calibration steps—just give me the details. And hey, I’ll make sure the tags are on the lenses before I start. Let’s get some clean data!
Sensor
Sensor: For the mounting, keep the camera at a fixed 0.5‑m distance, use a tripod with a locking plate, and align the optical axis with the sample center within 1 mm. For the spectrometer, set the integration time to 100 ms, exposure to 512 ms, and use a 20 × objective. Log the F-stop as 4.0, temperature at 23 °C, humidity at 45 %. Run a baseline scan on a known reference tissue, capture 10 frames, compute mean intensity, subtract from future frames to correct for drift. Tag each sensor with a U‑ID, store the ID in the metadata header, and use a simple hash check on each file. Remember to run a 5‑point grid check to confirm linearity before you start. Good data awaits.
Planaria
Got it, I’ll lock the camera at 0.5 m, set the lens tags, and run that baseline on the reference tissue first. Will do the 5‑point grid check, hash each file, and keep everything logged. Looking forward to the clean data!