PhotosynQ MULTISPEQ20 MultispeQ Device User Guide
- June 12, 2024
- PhotosynQ
Table of Contents
MULTISPEQ20 MultispeQ Device
User Guide
PhotosynQ Tutorials
Last Modified: Wednesday, April 10th , 2017
Getting Started
Creating an account
Before you can start using PhotosynQ, you will need to create an account.
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You can create an account from the website, the desktop app, or the mobile app.
Using the website: click on the ‘sign up’ button in the upper right corner of the website.
Using the desktop app: Download the PhotosynQ app from the chrome webstore and select “sign up.”
Using the mobile app: Download the PhotosynQ app from the Google Plays tore and select “no account? Register here.” -
Create a username and password for your account. This login will be used across the PhotosynQ platform.
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Check your email for a confirmation.
If you do not see it, check your spam folder.
Once you confirm, your account will be been created! -
Now go back to the website or app and sign in.
Connect an Instrument
You can use Bluetooth or USB to connect your Instrument with your device.
Depending on the instrument and device, some connection options may not be
available.
For data collection in the field, most people will use the mobile app. So lets
focus on connecting the MultispeQ to your android phone. For tips on how to
connect to the PhotosynQ desktop app please check out Connect an instrument in
the Help Center.
Before connecting your MultispeQ to the Android or Desktop App you need to
turn on the MultispeQ by pressing and holding the power button for 5 seconds.
There is no indicator light to let you know if it is turned on.
Connect an Instrument: The arrow indicates the power and reset button.
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In the app, select the instrument icon on the top right corner.
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A list of available Bluetooth instruments will appear.
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Below the Instrument name will be its ID. This should match the MAC address on your instrument (screen A, below)
If your instrument does not appear, click on SCAN DEVICES You may have to click SCAN DEVICES multiple times before your instrument appears. -
Select on the appropriate instrument.
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A pop-up will appear asking to pair the device by entering the instrument PIN. The PIN is 1234 and is the same for every MultispeQ.
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After pairing the MultispeQ, you will be taken back to the Device list. Select your MultispeQ from the list, if the screen B (below) appears your device is connected.
Android – Bluetooth: (A) Scanning for MultispeQ devices. (B) Information about
the connected device.
You are now ready to take measurements with your MultispeQ!
*If you are having trouble connecting to the MultispeQ, please look for trouble shooting tips in the help center
PhotosynQ Projects
Projects are the lifeblood of PhotosynQ, so it is important to understand what you are looking at!
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Inside the app, you can find all the projects you have either created or joined.
You can do this by selecting the menu in the upper left corner of the app and then selecting My Projects. -
Everyone is automatically joined to the tutorial project, Getting Started with MultispeQ Check out the overview and directions for the project.
i. These are sometimes the only source of communication between the project creator and you.
ii. Reading the directions is vital to taking proper measurements. -
Any additional questions about projects can be asked on the project discussion online.
My Projects: List of joined or created projects available for data
contribution.
Take a few measurements using the Getting Started with MultispeQ project or
create your own project.
Data Collection
Taking Quality Measurements
Once you have selected the project that you want to contribute measurements
to, you can start taking quality measurements by following these steps:
- Before clamping the leaf, answer all of the questions listed in the project
- Select measure.
- Clamp the leaf using the Best Management Practices listed below. The MultispeQ measures the leaf in its natural state. This means that changing the state of the leaf to take a measurement can affect your results!
- The protocol will take ~15 seconds to complete. Once the measurement is complete, confirm that the measurement quality is good.
- Select ACCEPT if you want to submit the measurement to the website or DISCARD if you want to discard the measurement and try again.
Tips: If you are using the default protocol Leaf Photosynthesis v1.0 the measurement will automatically start once you have opened the clamp and closed it over the leaf. Other protocols the measurement may begin as soon as you select Take Measurement. – Make sure you know when the protocol you are using begins!
Best Management Practices
- do not position your body so you are shading the leaf or the light sensor
- do not pull the leaf out of the shade and into the sun or vice versa
- do not change the angle of the leaf, this will change how the leaf is intercepting light
- in order for the compass measurement to be accurate, clamp the leaf on the left side when facing the stem.
- Make sure the leaf completely covers the light guide. If the leaves you are measuring are too small, you may need to mask the light guides and recalibrate the MultispeQ
Best Measurement Practices
Understanding a Measurement
Once you have completed a measurement you will have the opportunity to examine
it before submitting it to the website. Lets take a quick tour of your
measurement!
Note: This section of the tutorial covers the default MultispeQ plant
health protocol: Leaf Photosynthesis v1.0, and may not represent the results
from other protocols.
The graphical representation of the measurement is called a trace. The
parameters output by the PhotosynQ platform are generated from values within
this trace.
Most Important Parameters
Here is a list of the most important parameters and their typical ranges. If
your measurement is outside of the given ranges, your measurement may be bad
and you may want to discard it and redo the measurement.
Parameter | About |
---|---|
Phi2 | The fraction of light energy captured by Photosystem II which is |
directed towards Photochemistry to make ATP and NADPH and ultimately sugar
for the plant to grow. Typical range is 0 -0.82
PhiNPQ| The fraction of light energy captured by Photosystem II which is
directed towards non-photochemical quenching and is dissipated as heat inside
the leaf. The plant actively ‘shedding’ excess captured light to avoid
photodamage. Typical range is
0 – 0.85
PhiNO| The fraction of light energy captured by Photosystem II that is
directed…somewhere. This generally represents light energy lost to
unregulated processes that can damage Photochemistry. Typical range is 0.15 –
0.55
Relative Chlorophyll Content| The concentration of chlorophyll in the leaf. It
ranges from 0-80 and is a relative value so it has no units.
ECSt, vH+,gH+| These parameters describe the accumulation of protons in the
thylakoid and their flow through ATP synthase which converts ADP to ATP, one
of the main forms of transportable energy within the cell.
This measurement often does not work well at low light intensities. Under
these conditions it is common to get a pop-up message saying that the signal
is too low or too noisy and you should accept the measurement. If you get this
message under high light conditions, you may want to retake the measurement
Leaf Temp Differential| The difference between leaf temperature and ambient
temperature in degrees Celsius. The typical range is from -5 to +10
Light Intensity (PAR)| Photosynthetically Active Radiation in the 400 – 700
nanometer wavelengths that is used for photosynthesis. Typical ranges 0 to
approximately 2000 microeinsteins (under full sun)
If you click on Show More you can see many more details about the sensor readings. Additional information about PhotosynQ parameters can be found here.
Submitting Quality Measurements
Now that you are familiar with the parameters, you can check the quality of each measurement. If a measurement is out of the acceptable range or is too noisy a red danger or yellow warning notification will pop up describing the problem. Blue notifications are for information only.
Measurement Notifications
Tip: The easiest way to ensure quality data is to discard poor data
before it gets submitted to the website!
One of the most common warning messages you will receive is that your data is
too noisy. Noise can come from the sample shaking in the wind, the leaf
slipping in the measurement chamber or a shaky hand. Stabilizing your hand and
leaf stem often helps, but sometimes things are more complex. For example, if
you measure a dead leaf, the app informs you that the values are very low,
meaning that either you didn’t measure a plant or something is probably wrong.
You can chose to keep the measurement from a dead leaf as a legitimate value
or discard it. It depends on your project goals.
If the measurement seems okay, values are in the reasonable range and there
are no warnings you can go ahead and submit the measurement.
Once you submit the measurement you can see it in the Measurements tab,
available in the menu on the android app. If there is a check next to the
measurement, it has been submitted to the website.
To take another measurement, click on new measurement.
Submit Cached Data
If you would prefer to manually submit your data, or to limit the auto upload
feature to when you have wifi connection only (to avoid using mobile data), go
to the Settings tab in the mobile app menu. – This provides you more freedom
to
reconfirm all the measurements before submitting them to the website. – Before
measurements are submitted to the website, you can add notes, pictures, or
even delete measurements directly from the Measurements tab.
Methods of Data Collection
Data Viewing
Project Dashboard
As soon as you have uploaded your data from the mobile or desktop app to the
website you check it out on the Data Viewer.
- Go to your project page and click on View Data from the left side menu.
- Wait for your data to load. This can take anywhere from a couple of seconds to a couple of minutes depending on the number of measurements in the project and the speed of your internet connection.
- Once your project data has loaded you will land on your project’s Dashboard.
From the Dashboard you can choose to graph your data, view it on a map, view it as a spreadsheet, or conduct some simple statistical tests by clicking on the appropriate icon (see below).
Filter Your Data
Looking at all of your data together may not be very informative. You can
Filter your data to create separate Series that you can compare.
To start generating Series 1. Select
Add
from the right site menu to show the filter dialog. 2. Expand the Project
Question or other category that you want to filter by. 3. Select your answer
or answers for each Question. 4. Choose whether you want to make a single
series or multiple series – To add a single Series 1. Make your filter
selections. 2. Select
Add
below the available filter options to create one series
Single Series
To add multiple Series
i. Make your filter selections.
ii. Select ! and choose Import as separate series.
Multiple Series
Graph Data
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Click on the graph creator icon in the data viewer.
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Select the kind of graph that you want to create from the dialog box. You can
choose between a variety of scatter, bar, and histogram charts. -
Use the drop down menu’s to choose which parameters you wish to graph.
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After you have chosen the parameters to graph, select Plot.
Tip: The most important parameters will be listed as Primary Parameters and Project Questions. If the parameter you are looking for is not in these two categories, scroll to the bottom of the drop down menu and look under Advanced.
For more help with plotting data, please visit the Help Center.
Map Data
To view your measurements on a map or generate a heatmap select the Map icon
from the dashboard.
You can view your data overlaid on a satellite map or regular map and you can
zoom in or out. You can also create a heatmap by selecting the parameter of
interest in the upper left hand corner of the map.
Data Spreadsheet
You can view your data as a spreadsheet by clicking on the Spreadsheet icon
from the dashboard.
You have several options within the spreadsheet view: 1. Download the entire
table as a csv or text file by selecting the Save dropdown menu. 2. Add more
information to the table, including the Device ID, Latitude and Longitude, etc
from the More menu. 3. Select which protocol you want to view from the
Protocols menu. This only applies to projects with more that one measurement
protocol.
Single Measurements
In order to access a single measurement, you have multiple options:
- Click on a marker in a scatter plot.
- Click on a map marker and select [View Measurement] from the popup.
- Click on an ID number in the ID column of the spreadsheet.
Single Measurement. Use the Next and Previous buttons to navigate between
measurements.
Tip: Viewing a single measurement allows you to verify a measurement and
flag if necessary to indicate an insufficient quality, labeling error, etc.
Data Analysis
Analyzing your Data
Introduction
Many of the parameters measured by the MultispeQ (e.g. Phi2, PhiNPQ, and
PhiNO) respond rapidly to changes in light intensity. For this reason, the
analysis of PhotosynQ data often requires multivariate or more sophisticated
analytical methods.
However, there are a number of simple tools available from the dashboard in
the data viewer. These simple statistical tools include a summary, students
t-test, and ANOVA.
Summary
A summary is created for one parameter (e.g. ΦII) at a time. A histogram to
shows the distribution of values, as well as Sample Size, Median, Average,
Confidence Interval of Average, Standard Deviation, Minimum, Maximum and Sum
are calculated for each series. It provides a quick overview of your dataset.
Student’s t-Test
A t-test compares the values of a single parameter (e.g. ΦII) between two
series. If the sample size is the same for both series, a one tailed t-test
can be selected. If the numbers are different a two tailed t-test. In case a
one tailed t-test is picked and the sample size differs between the two
series a two tailed test is performed automatically.
ANOVA
Analysis of variance (ANOVA) compares a single parameter (e.g. ΦII) between
more than two series. A One-Way ANOVA should be used when the series are
created using one filter (e.g. Leaf #). This rule may not apply if the project
is looking for several plant species and a second filter is used to select
only one species.
Advanced Analysis
These are basic tutorials on how to do advanced data analysis outside the data
viewer and use the available packages.
Tutorial | Python | R-Studio |
---|---|---|
Import PhotosynQ Data | View | View |
Anova and Multivariate Analysis | × | View |
Correlation and Mixed Effects | × | View |
Protocols
Why do PhotosynQ measurements require Protocols and Macros?
On the PhotosynQ platform, we use Protocols to provide specific measurement
instructions to the instrument, such as the MultispeQ. Every time a
measurement is taken, the Protocol is sent to the instrument, and the results
are sent back.
You can choose to attach a Macro to a Protocol. Macros are used to make
calculations after a measurement has been taken. Not every measurement
requires post processing (e.g. a simple temperature measurement), but if you
want to calculate a parameter from the measurement Trace or want to compare
parameters (e.g. ambient temperature vs. leaf temperature), a Macro will
calculate the parameters of interest and display the results instantly on your
mobile device (e.g. a phone).
The steps involved in taking a measurement
How do Protocols work
Protocols are written in the JavaScript Object Notation or JSON. It’s
important to note that most scripting languages have the capability to parse,
modify and validate a protocol. If the Protocol is sent to the instrument, it
needs to be parsed as a string before is gets sent. Unless you build your own
application, the PhotosynQ apps will take care of that for you.
Before you Get Started
In order to build your first Protocol, make sure you have the Desktop App
installed. You will also need an Instrument like the MultispeQ to test your
protocol. 1. Select Protocols from the menu and click on + New or select the
Protocol Editor directly. 2. Check out the detailed documentation on how to
create a protocol in our wiki on GitHub 3. Make sure you have your instrument
connected properly, so you can click on ” Run ▶ to test your Protocol 4. Now
you are ready to create your first Protocol…
Measuring Photosystem II efficiency
In this tutorial, we show you how to acquire a simple Phi2 value using the
MultispeQ. Before we start, lets take a look at the measurement.
measurement is divided into three parts:
- 20 Pulses at ambient light intensity
- 50 Pulses at a saturating light intensity
- 20 Pulses at ambient light intensity
This is all we need to record the photosystem II quantum efficiency, or Phi2. The following protocol has another 4000 pulses prior to the above-mentioned protocol, to adapt the leaf to the ambient light intensity, which is recreated inside the MultispeQ instrument.
Pulses
A measurement is divided into pulses. Pulses can be grouped into pulse sets.
The example below shows a total of 4,090 pulses grouped into 4 pulse sets.
Most of the following parameters require you to define those 4 groups. pulses
defines those groups, pulse_distance defines how far apart each pulse is (in
µs). The command pulse_length defines the pulse duration in ms.
Table View
pulses | pulse_distance | pulse_length |
---|---|---|
4000 | 1000 | 30 |
20 | 10000 | 30 |
50 | 10000 | 30 |
20 | 10000 | 30 |
Advanced View
Pulsed lights
Once we have defined are pulse groups, we need to define the lights we want to
use to probe the fluorescence. pulsed_lights defines which lights are pulsed
during each pulse set. 0 means that there is no light pulsing, 3 uses the 605
nm LED (amber), Lumileds LXZ1-PL01. pulsed_lights_brightness defines the light
intensity of each pulse. Since multiple lights can be pulsed, lights or
brightness are written like [3] this and not simply like 3 . Multiple light
would be written in this way: [2,3] .
Table View
pulsed_lights | pulsed_lights_brightness |
---|---|
0 | 0 |
3 | 2000 |
3 | 2000 |
3 | 2000 |
Advanced View
Non Pulsed Lights
In this protocol we need an actinic light (which is not pulsed), so the plant
has light available to continue doing photosynthesis during the measurement.
To set the intensity we use the command light_intensity to reproduce the
ambient light intensity, which is recorded by the PAR sensor. Light 2 is the
655 nm LED (red), Lumileds LXZ1-PA01.
Table View
nonpulsed_lights | nonpulsed_lights_brightness |
---|---|
2 | light_intensity |
2 | light_intensity |
2 | 4500 |
2 | light_intensity |
Advanced View
![PhotosynQ MULTISPEQ20 MultispeQ Device
- Advanced View4](https://manuals.plus/wp-content/uploads/2023/08/PhotosynQ- MULTISPEQ20-MultispeQ-Device-Advanced-View4.jpg)
Detectors
Next we have to define the detector we want to use to record the fluorecence
coming off the leaf. We use the command detectors to define which detector we
will use for each pulse set. Since we can use multiple detectors per pulse set
we use [1] instead of the 1 notation (using two detectors would look like
this: [1,2]). When the detector is set to 0 no data is captured. Detector 1 is
the 700 nm – 1150 nm, Hamamatsu S6775-01.
Table View
Environmentals
To record the ambient light intensity required for the non pulsed lights
intensity, we have to add a command to include the PAR sensor using
light_intensity .
This is also where you could add other environmental parameters like
temperature, relative humidity, etc, depending on the sensors available in
your instrument. Table View (Fixed)
Advanced View
Start measurement
To start the measurement as soon as we have clamped the leaf, in order to
perturb it as little as possible, we add the following command: 1 indicates
the measurement starts as soon as the clamp is closed and 0 starts the
measurement as soon as you select Start Measurement on your device.
Table View (Fixed)
Advanced View
The final Protocol
Putting all the pieces together, the protocol to measure Phi2 looks like this:
Table View
pulses| pulse_distance| pulse_length| pulsed_lights|
pulsed_lights_brightness
---|---|---|---|---
4000| 1000| 30| 0| 0
20| 10000| 30| 3| 2000
50| 10000| 30| 3| 2000
20| 10000| 30| 3| 2000
Advanced View
Tip: Continue with the Macro Tutorial to learn how to calculate Phi2 from
the recorded measurement.
Macros
Why do PhotosynQ measurements require Protocols and Macros?
On the PhotosynQ platform, we use Protocols to provide specific measurement
instructions to the instrument, such as the MultispeQ. Every time a
measurement is taken, the Protocol is sent to the instrument, and the results
are sent back.
You can choose to attach a Macro to a Protocol. Macros are used to make
calculations after a measurement has been taken. Not every measurement
requires post processing (e.g. a simple temperature measurement), but if you
want to calculate a parameter from the measurement Trace or want to compare
parameters (e.g. ambient temperature vs. leaf temperature), a Macro will
calculate the parameters of interest and display the results instantly on your
mobile device (e.g. a phone).
How do Macros work
Macros are small snippets of code, which run calculations based on your
measurements. They are written in the popular script language JavaScript.
Before you Get Started
In order to build your first Macro, make sure you have the Desktop App
installed.
You will also need a Protocol with an output that you want to analyze. In this
example, we will take the Protocol from the Tutorial as a basis for this
Macro.
- Select Macros from the menu and click on + New
- Select your measurement by searching your Notebook
- Now you are ready to start coding…
Calculating Photosystem II efficiency
In the previous tutorial we built a protocol to measure photosystem II
efficiency.
Now we can build a simple macro to automatically calculate it every time you
take a measurement.
Initial Code
Accessing the recorded Trace
In order to calculate the parameters Fs (steady state fluorescence) and Fmp
(maximum fluorescence), you have to access the recorded fluorescence trace.
The Macro editor allows you to select the regions, by using the graph of the
trace.
In the example below, check range and select the region of interest. Then
click on the # icon to add the selected range into your code,
json.data_raw.slice(63,68) in this case. We use the already pre-defined method
Math MEAN( array ) from the Function Menu to calculate the mean of the values
in the selected range.
Deriving values and adding them to the output
Now we can calculate Phi2 and LEF. For LEF we also need the light intensity.
We can insert the light intensity by selecting light_intensity from the
variables in the top menu.
Defining the Macro Output
Finally we can return the results by adding the calculated values to the
output object.
The Final Macro
Output
More
- Tutorials
- Forums
- Frequently Asked Questions
- Latest Updates (Blog)
- Documentation
- Videos ( YouTube)
FCC Statement:
Warning:
Changes or modifications to this unit not expressly approved by the party
responsible for compliance could void the user’ s authority to operate the
aquipment.
This device complies with part 15 of the FCC Rules. Operation is subject to
the following two conditions: (1) This device may not cause harmful
interference, and (2) this device must accept any interference received,
including interference that may cause undesired operation.
FCC Statement:
This equipment has been tested and found to comply with the limits for a Class
B digital device, pursuant to part 15 of the FCC Rules. These limits are
designed to provide reasonable protection against harmful interference in a
residential installation. This equipment generates, uses and can radiate radio
frequency energy and, if not installed and used in accordance with the
yistructions, may cause harmful interference to radio communications. However,
there is no guarantee that interference will not occur in a particular
installation. If this equipment does cause harmful interference to radio or
television reception, which can be determined by turning the equipment off and
bn, the user is encouraged to try to correct the interference by one or more
of the following measures:
- Reorient or relocate the receiving antenna.
- Increase the separation between the equipment and receiver.
- Connect the equipment into an outlet on a circuit different from that to which the receiver is connected.
- Consult the dealer or an experienced radio/TV technician for help.
References
- PHOTOSYNQ
- PhotosynQ Documentation
- PHOTOSYNQ
- PhotosynQ Documentation
- PhotosynQ Documentation
- PHOTOSYNQ
- PHOTOSYNQ
- JavaScript Tutorial
- JSON Introduction
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