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Hi, and welcome to the MarinaBioLab qPCR
validation workbench.

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This tool turns a raw instrument export
into a finished validation report.

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In about twelve minutes, I'll walk you
through one complete validation, start to

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finish. You'll see where to click, what to
check, and what to do when something looks

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wrong. Everything on screen is made-up
training data, and the video has chapters,

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so you can jump back to any step later.

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Let's sign in. There's no password. You
use your work email instead. Type your

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address into the Work email box, then
press Send sign-in link.

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Open that email on the same computer
you're using now, and click the link. If

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you open it on your phone instead, the
link signs in your phone, so type the

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eight digit code from the email into this
page. And if no email arrives, ask your

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validation lead.

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You're on the Dashboard. Let's get our
bearings. The menu on the left is arranged

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in the order you'll work. Workspace, then
Set up, then Data, then

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Output, and the AI co-pilot at the end.
The strip across the

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top is called Your validation workflow. It
shows the five stages of every

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validation, each with a short status and a
suggested next action. Whenever

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you're unsure what to do next, read that
text.

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Every validation lives inside a session.
Think of it as a folder. It holds the

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panels you're validating, the study types,
every file you upload, and everything the

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workbench produces. One session can hold
several panels, so a multiplex

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validation stays together. We're on the
Sessions page. Press

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Start a validation. After a moment the
status says Session ready, and the header

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at the top shows which session you're in.

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Next, the plan. This is where you say what
you intend to validate, before any

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numbers come in. You're on the Plan page.
Tick the panels you're

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validating, then tick the study types
you're running. Then press Build guided

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plan. If your lab already has a saved plan
file, press Import plan

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JSON instead. Getting this right now
decides how your results are organised

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later.

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Sometimes the workbench needs a decision
that only a scientist can make. Then it

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shows a decision card like this one. Read
the question and the reason it's asked.

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Pick the option that matches your
evidence. If none fit and there's an Other

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choice, describe your own answer. Add the
short explanation it asks for,

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then press Apply answer. It's saved with
your name and the time. Clear

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every open card before moving on.

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Now your data. You're on the Upload page.
One important

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detail. The workbench can't read a Bio-Rad
.pcrd run file

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directly. Export it first. In CFX Maestro,
open your run,

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go to Export, then Export All Data Sheets,
and choose CSV.

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QuantStudio exports, RDML files, and Excel
workbooks work too.

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If you pick the wrong file type, the
message on screen reminds you what to

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export.

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Here's the habit that saves the most time.
Put the study type in the file name.

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Look at the selected file. Its name
includes the word Accuracy, so the

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workbench can route those rows to the
Accuracy study on its own. If the name

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doesn't say which study it belongs to,
that's okay, but you'll confirm it by

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hand, one group at a time, in the next
step.

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Next to the file, fill in the Reagent kit
catalog and the Reagent lot number.

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They're recorded with each upload for lot
tracking, along with your name, and they

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never appear in a client report. Then
press Save and queue

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parser. This is the step people miss.
Choosing a file doesn't read it. This

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button does. Open Jobs in the header, and
when the parser says succeeded, you're

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ready for mapping review.

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You're on the Mapping review page. This
step decides what your numbers mean, so

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slow down here. Press Load mapper groups.
The workbench

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sorts the rows from your file into groups,
one per sample. Each table row is one

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group. You can see the file, the sample
name, which study it went to, where that

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routing came from, how many source rows it
covers, and a reason in plain words.

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Look at the Source column. It tells you
how each group was routed.

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Nomenclature means it recognised the study
from text in your file. Parser guess

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means the parser suggested a study role.
Unresolved means it couldn't tell, so you

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decide. Positive controls and no template
controls are tracked separately.

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For each group, check the sample, its
source rows, and the reason before you

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accept the routing.

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Sometimes a target name in the file isn't
quite right. That's what Manual target

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correction is for. Press Load server
target choices. Pick the measurement

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to fix, choose the correct target from the
list, and type a short scientific reason.

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Press Preview correction to see the before
and after values. If it looks right, tick

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the confirmation box and press Confirm
target correction. Every correction and

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its reason stays in the history.

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Now let's calculate the results. Once you
confirm the mapping and the session is

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ready, the workbench usually queues the
calculation for you.

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To check, open Jobs from the header. If
nothing has started, go to the Dashboard

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and press Queue next output job. If
something is blocking it, the message says

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exactly what's missing. You don't have to
wait here. The Results page shows the

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saved run when it's ready.

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You're on the Results page. Across the top
are the headline numbers. Overall status,

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mean detection rate, mean R squared, the
largest Cq gap, and how many

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targets and rows were used. Be careful
with one of them. Mean

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detection rate averages the rates from
each study summary row. It's not one

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percentage from every well. Treat these as
a summary, not a verdict. The real

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story is in the study tables below.

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Results has a tab for each study type.
Each table has one row per metric.

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You'll see the study, the metric, the
observed value, the criterion it's judged

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against, the status, and the source rows
behind it. Cq

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values show two decimal places. If a study
was planned but has no data yet,

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its row says Needs review, Blocked, or N A
instead of a number.

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The workbench never fills in a number it
can't back up.

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Want the evidence behind a result? Open
the criteria review table.

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Each row names the study, the metric, the
observed value, the criterion,

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and the status. The Detail column explains
how it was judged. The Source

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rows column points back to the
measurements it came from. Scroll sideways

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if the table is wide. Before you sign off
anything marked for review, follow those

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references back to the saved measurements.

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Let's trace one number back to the raw
data. Go to the Dashboard and find the

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Workbook explorer. Pick a sheet, then pick
a row, and its

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details open. Every cell shows the formula
that produced it and the source rows it

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used. Source row comparison puts the
calculated value next to the original

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measurements. Explain formula describes
how the detection rate is worked out. It's

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a reminder, not a substitute for checking
the sources yourself.

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The figures come from the same result run.
Target detection rate, mean Cq by

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target, and the standard curves. Where a
panel reports a semi quantitative

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range, the bands come from the fitted
curve for that target rather than a fixed

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table, and a fit too weak to separate the
bands is reported qualitatively instead.

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If a figure looks wrong, the repair is
upstream in the data or the mapping.

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Now let's check the plate. You're on the
Plate map page. It's built from the

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calculated results, so it appears after
the calculation has run.

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Use it to confirm your controls and
replicates landed where you expected. Each

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well shows its call. Click any well to see
the sample, the target, the Cq

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value, and the source rows behind it. If a
sample ended up in the wrong well, you'll

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spot it here.

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Now the part only a scientist can do.
Accepting the result. You'll find

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Result-run review on the Dashboard and on
the Results page.

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Once you've checked the evidence, pick a
rationale code, write your scientific

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rationale, and press Approve result. That
puts your name against this exact

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result package. For a known deviation,
record an Approved deviation, or

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file an exception with the target, the
study, your summary, and the source rows.

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Accepting a result is not the same as
approving a report. That comes later.

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The report is built from the results you
just accepted. Before you generate it,

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choose who it's for. Scientist review
gives the full detail,

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with every table and source reference.
Client final keeps the study conclusions

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and the key performance results, including
precision standard deviations and CVs, and

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trims internal detail. Both use exactly
the same calculations. Then

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choose Marina brand or White label.
Choosing Client final

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describes the audience. It doesn't approve
the report.

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You're on the Report page. There are two
kinds of fix here, and it matters which

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one you use. If the wording of a section
is wrong, press Edit

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section, change it, and press Save
section. That's what a draft is for.

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The Linked to this section panel keeps its
tables and figures attached.

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If a number or a table is wrong, don't
edit the report. Fix the data or the

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mapping upstream, generate the results
again, and the report rebuilds itself.

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This strip shows where the report is in
its life. Preview, QA, independent

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review, then Approved. Right now it's a
Draft. Every

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draft download has a DRAFT watermark on
each page, so please don't send drafts to

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clients. To become Approved, the file
passes its integrity check,

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the governing policy is ratified, the
release checks pass, and an independent

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reviewer approves that exact version.
Until then, Approve certified report

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stays disabled, and the list underneath
says what's missing. The automatic QA

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pass only gives advice. It can't approve
or reject anything.

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You're on the Downloads page, where every
finished file lives. Each file shows its

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type, the result it came from, and a short
fingerprint so you can tell versions

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apart. Before you send anything, read the
button.

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Internal preview means on screen only.
Awaiting approval means the report isn't

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approved yet. On the Report page, the same
file reads Download DRAFT

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watermarked PDF until approval, and
Download certified report PDF

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after it. If it says draft, it's not for a
client.

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Let's look at the Panel registry. It's the
reference library the workbench uses.

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Pick a panel and you'll see its targets,
each with its channel or dye, its oligo

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mix, and its LoD floor. The panel row
shows how many study types it

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supports and its default Cq cutoff. The
key word is default.

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Whether a well counts as detected also
depends on the amplification status and

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the run settings. Every session records
the registry version it used.

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Now the AI co-pilot. Open it from the
header while your session is selected.

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A good first question is, what evidence do
we have for this session, or which review

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steps are still open. Wait for the full
reply. Then, and this matters,

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check its references and the values it
quotes against the tables. A reply about

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the whole session doesn't tell you the
result for one target or study. Ask about

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the specific thing you need.

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Treat every co-pilot answer as a draft for
you to review, not a conclusion.

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Compare what it cites with the saved
tables and source rows. If it

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doesn't answer your question, ask a
narrower one, or use Discuss this value on

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the exact result cell. And remember, the
co-pilot can't fill in missing

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measurements, make study decisions, or
approve anything. Those still happen in

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the validation record, by you.

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What if you get stuck? First, read the
written status on the step you're on. It

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names the blocker and suggests the next
action. If something is taking a

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long time, open Jobs in the header to see
what's running and whether anything

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failed. And if a number looks wrong, send
your validation lead three things. The

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session name from the header, the file
name, and what you expected to see

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instead.

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And that's the whole loop. Start a
validation. Set your plan and answer the

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decision cards. Upload your file with the
study type in the name. Review the

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mapping. Generate and approve the results.
Check the plate map. Draft the report,

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get it reviewed, and download the approved
copy. Come back to any

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chapter whenever you need it. Thanks for
watching, and if anything looks wrong,

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please send it through.

