Attendees
Peter @mkdryden @AlexSk @dbldutch @asmithw @gbathree @ryanfobel
Summary
- Discussed attendees’ projects and associated problems
- Use of coherent light from the sun and how to standardize it
- Ideas for building different types of spectrometers
- Ideas for performing hyperspectral imaging
Notes
Context:
-
Coherent light is useful, but lasers are expensive
- Getting coherent light from LEDs/the Sun
- Can do interesting spectroscopy using new methodologies
-
Standards
- Sharing data with others
- Calibration/ wavelength standards
-
Accessibility issues
- Expensive laser vs. laser pointer
- Micro-LEDs and the Sun
Discussion:
- The sun as a source
- Big advantage of using Sun as source: The sun can be used as a standard.
- Almost any camera/sensor can be calibrated by measuring solar light
- Makes spectroscopy hackable
- Can we make it consistent?
- Coherence
- Some amount of solar photons are coherent
- Not as efficient, but can do some of the things we can do with lasers
- Standardization:
- Coherence length
- Wavelength
- Atmospheric effects?
- Some amount of solar photons are coherent
- Big advantage of using Sun as source: The sun can be used as a standard.
- Greg’s spectrometer
- Uses absorbance
- Internally referenced
- More noise
- Limitations in samples
- Sensitivity
- Standardization for absorbance:
- Standardized filters
- Some common methods exist
- Intensity needs to remain constant
- Pulse LEDs instead of constant current to hold temperature constant
- Problems with LEDs shifting with temperature
- Needs a lot of light for improved sensitivity
- Currently putting devices in the oven to generate temperature calibration curves
- Drift check routine
- Currently getting ~10% variance
- Use LED voltage to measure LED temperature
- One possible solution: heat LEDs to constant temperature
- Adam showed off dual beam phone-based spectrophotometer
- Light source passes through both sample and reference and diffraction image of both sample and reference taken together
- Big problem with cuvettes/mechanical differences inducing error with diffuse reflectance
- Example applications:
- Chlorophyll in leaves
- Soil
- Few things in cuvettes
- Uses absorbance
- Spectrometers:
- Hamamatsu MEMS
- TI Nano-spec
- Digital micromirror device spatial light modulator
- Neospectra
- Cell phones
- a lot of variability
- Need a lot of calibration
- DSLRs
- more consistent
- Fibre optics for spectroscopy
- Coupling losses
- Availability for citizen scientists is difficult
- Acrylic light guides
- UV-transmissive acrylic available now
- Hamamatsu MEMS spectrometer
- Coherent light sheets
- Different layers of different colours
- Use linear detector
- Air quality measurements
- Public use commonly available sensors
- Low quality, but can help identify areas where we can come in with more sophisticated systems
- Need a lot of data
- Public use commonly available sensors
- Image-type data
- A lot of research/tools available in image processing
- Hadamard-type imaging for hyperspectral imaging
- Vibrating fibre to image in particular pattern
- Raman spectroscopy
- Shifted technique
- 6 bands of light on RGB sensor
- Linear gradient filter
- multiband dichroic
- 6 bands of light on RGB sensor
- Shifted technique
Action Items:
- Application areas for spectrometers
- air, water, food
- VOCs in air with raman
- Image-based sensors may be better to engage public as visual data is more interesting