0:38
Thank you very much.
0:40
So thank you for the introduction.
0:44
I'd just like to know the group are more interested in robotics or you guys more lab people.
0:51
What's the kind of so hands up if you like more lab orientated, just one OK, robotics and engineering.
1:00
Got it.
1:01
And then IT OK, no worries.
1:05
So it's more going to be tailored to you guys in terms of robotics and IT.
1:11
But I will give some background as well because I have a lab background myself.
1:15
So basically in this, in the field of, in our realm of microbiology and production areas, a lot of things are stuck in the past.
1:32
So I'll go through what things were like in the past and you know what we do currently, we're going to go through some regulatory challenges.
1:40
I'm going to skip over that because there's a lot of, you know, technical things to talk about there.
1:46
Very word heavy.
1:48
So I'm going to just brush over that.
1:51
We've got the and the third thing that I've fulfilled the dream of automation, digitization and digitization again, and what the future holds?
2:02
OK, I'm going to give some examples of our current customers that you know, because we're already out in the field.
2:08
We've got big name clients who have our systems.
2:14
So I'll just briefly go over some of those details as well.
2:20
Right.
2:23
So this is kind of my world, you know, you're in the lab, you're expecting to have a lot of documentation, a lot of paper heavy things, a lot of manual kind of processes that occur.
2:39
And what that means is the high rate of errors, there's a high rate of things going wrong.
2:46
And this paper-based kind of realm is not the way forward.
2:53
So what we do and what we're trying to do is implement a new system which can get rid of this, let's say, and really streamline it.
3:05
So as you can see, this is the past.
3:09
And when I first started, I couldn't believe that how what we were doing currently is something that has been the same for, you know, over what is that 70, 80 years, 90 years.
3:24
So it was baffling to me then and still baffles me now that, you know, all of these steps in between remain the same.
3:33
And it's very difficult to change that in the pharma world, in that industry.
3:40
So what I do is we, you know, we're going away from that and we're going to offer our system, which is the solution to, you know, get rid of that and make it modernised.
3:52
And what that means is all of those colonies which are being counted for contamination, for example, it's automated now.
4:03
So what is our system?
4:05
Sorry, this is now going back to the regulatory kind of thing.
4:08
So there's a lot of errors and things that are picked up on by regulators due to data integrity issues and things like that.
4:17
So I'm going to briefly just go over that all the crux of this is to say that our system mitigates that.
4:26
And with our system installed, you're not going to have these FDA kind of problems and things like that.
4:39
So again, I'm going to just briefly go over the regulatory things.
4:44
There is multiple requirements in terms of different jurisdictions in the pharma world as well as so you've got, you know, Japanese pharmacopeia, you've got the EUs own standards, the US FDA.
4:58
There's not really any harmonisation and no clear guidance.
5:03
So and also a fog of terms.
5:07
So the way things are worded, it's not really concise.
5:10
There's no real overlap.
5:14
There's a lot of overlap, but there's not the wording is different.
5:16
So what we kind of aim to do is just cut all that out and we, you know, implement our system.
5:23
So it's good with everyone.
5:30
So within the realm of, yeah, again, pharma, all of these issues in terms of data and manual entries, for example, paper signatures, it’s very tedious and we want to get away from that with our system we're, you know, going forward and automizing this.
5:57
So it's probably better if I go and show you the system.
6:03
Yeah, let's go with that.
6:05
So because you're more engineering robotics kind of people, it is basic.
6:16
So our system, what we're trying to do is incubate plates.
6:20
So our own Petri dishes, which is actually the same Agar, the same test that you perform within the industry for each step of different processes, for example, water or bioburden, as well as environmental monitoring.
6:41
Now, rather than incubate that in your own incubators, we've got an automised, there's a top incubator and a bottom incubator and there's an image cycle that occurs.
6:52
So robots move our cassettes automatically from the incubator into the imaging area.
7:03
There is show you that inside next, sorry.
7:06
So that's what it looks like inside.
7:13
So it's moving from here into the, it's behind the UI here, the user interface, there's an imaging deck and there is an image occurring every four hours.
7:25
So we're monitoring the progress of growth of any contamination and bacterial growth, mould growth, rather than waiting longer.
7:35
So just to pose a question for everyone, how long do you think would some tests would take?
7:42
Would you say, you know the standard way, four hours, four days or seven days hands up for seven days. OK, 4 days, four days approximately for incubation, OK, and four hours.
8:03
So we're looking at about, you know, five to seven days. OK, five to seven days is the standard for some environmental monitoring or bio burden or water tests, OK.
8:17
Now what we're trying to do is reduce that.
8:21
And what we do is reduce that because you don't have to wait as long.
8:25
You're just waiting for the machine to give you some flags on the screen to say, hey, there's some growth.
8:32
We can immediately drop that batch, for example, we can immediately stop production and do a cleaning step, for example.
8:40
And that is really the crux of the system.
8:48
So to go in more detail.
8:49
So we've got the robots which are manoeuvring those cassettes, OK, rather than waiting until the end of the test is complete, which is what we do traditionally and count with our eyes, would you believe it or not?
9:03
And then write that number down.
9:05
OK, the machine is doing it for us.
9:08
So it's automatically counting those colonies as they're growing in real time.
9:13
So every four hours you're going to have an image that's going to get fed back and it's going to the algorithm will calculate how many, let's say microbial coliform forming units will be present.
9:29
So that just means basically that how many cells, how many dots it sees or of the bacterial growth.
9:38
So we're cutting down the time where we're getting rid of any manual discrepancy, which is one of the big factors.
9:44
So people counting with their eyes, it's obviously not very accurate.
9:52
What so the blue light is shone, that is what is reflected and that is the picture that's taken every four hours and that's what goes.
10:01
So every four hours, it'll go into the imaging area back into the incubator and you know, it will continue its incubation until it's next image cycle.
10:12
I'm not going to go into all the details of here, but the major point here is that the alcohol principles for in the lab settings that we want, you know, data to be, you know, attributable, legible, you know, accurate, all of these things, which isn't the case when you are just an operator writing down something.
10:39
So we're getting rid of that and this is our solution.
10:44
It's all digitised.
10:46
So every action that you perform on the system requires you to give a username and password.
10:54
So it's all logged and in that way, it covers all of these kind of data integrity things, right.
11:07
So to get more to the IT side of things, different customers, different companies have different lab management software.
11:19
So all the samples that you have in your system are usually tracked with either lab Vantage LIMS or I'm not sure how familiar everyone is with those kind of programmes, but our system is integrated with that.
11:37
So what you can do is you can order those samples that is then pushed via CSV file.
11:48
So basically it's sort of like an Excel script onto the growth direct the orders placed at that point, operators can take the sample, apply the label and then load the machine.
12:05
And it was already automated.
12:07
So there's no need for them to manually, for example, you know, write down, which is what the standard way is for a lot of customers.
12:15
Just get the Petri dish right down with your hands, sign date, what the sample was for and then manually tape it up manually walk somewhere else, put it in an incubator.
12:28
Wait the allocated time, not the shortened time that we can give you and then read it manually with your eyes, which is again, just prone to so many different errors and breaches.
12:41
So once that's complete on our system, it can also shoot back the data back into and integrate back to your lab management software.
12:55
Whether it's libs, lab vantage, LIMS, it depends on what you what the customer has.
13:03
OK, a bit more technical on the IT side.
13:07
So what we have to know is that our system is stand alone.
13:12
It's not really connected to your network in any way except through this computer here the bridge computer.
13:25
So that's a computer the customer will provide and that is, that's got all their group policies and things relevant for, you know, their own network.
13:36
And then we are just simply going through that to we're going through that to process any of those LIMS or whatever lab management software tools as well as any printing of reports.
13:54
So as reports are completed, we can, you know, obviously use a printer as well as a label printer for labelling those cassettes and all of that is connected to this bridge computer.
14:09
We do also offer a remote management remote monitoring service.
14:13
So that's dependent on what level of yeah, what level of security you would like.
14:23
So we can control your machine if that is what the customer wants, we can do that in case there is, you know, any need to do that.
14:36
This is our labels.
14:40
It's just the media is the same as what's traditionally used.
14:45
One of the advantages is the way that it locks.
14:48
So if you come and see us at our booth, we can show you physically how that works and how that's different to the traditional plates because obviously I've dropped a lot of plates, you know, in my past here you can drop these and you know, even still can be salvageable.
15:05
So that's one little advantage.
15:08
And obviously this label here is quite clear.
15:11
It's quite, there's no need for, you know, writing anything down on this.
15:21
Don't get too worried about all of these terms.
15:24
It's just showing the steps that are involved in the process.
15:30
For example of any bio, let's say bioreactor or production steps in the pharma world, we want to get rid of this, OK.
15:40
And we're reducing it down to something more like this.
15:42
So it's just a more manageable side because at the end of the day, it is work and you know, yeah, we were just trying to streamline that process again. Going more into the LIMS side of things.
15:58
So the lab management software, the list I was trying to run off earlier, here it is.
16:06
It's got MODA. StarLIMS, SAP.
16:08
So these are all different platforms that I just described earlier of what can be integrated with our system, right?
16:18
Again, best practise examples.
16:19
So let's say a customer they've got the electronic lab book, they've taken their samples.
16:28
That request file has already been sent to the bridge computer.
16:31
So exactly what I just described earlier, just a bit more graphic kind of detail of what's happening.
16:36
It's on the bridge computer here and the same it will then order that onto the system.
16:46
It will be visible on the user interface.
16:48
So that's our little screen here.
16:50
It's not a little, it's an actual monitor size.
16:53
So and then it will go back once the sample is complete.
16:59
Again, all of those details for the sample are within the system.
17:03
So you know whether you use MODA or whether you use anything else, all those details are there.
17:13
This is an example of our user interface.
17:14
So once again, as tests are ordered in the background here, they will appear on our user interface.
17:23
So that little screen there you see is a little graphic.
17:25
This is this actual screen.
17:27
So this is the actual screen and the order appears here in the status.
17:30
So once it's ordered, that means the system saying, hey, give me some samples.
17:34
I want to see this on the machine.
17:38
If for example, this is left too long, it will go red or say, hey, I was expecting a sample.
17:43
Where is it?
17:50
Again, upon completion of the tests again, more IT side, the results are sent back to the system.
18:05
So this is example of MODA lab management software.
18:11
And then these are the details of what comes from the system and how that data is then passed onto your or the customers system.
18:25
So this is the kind of summing up.
18:28
Now we're basically getting, we have a data integrity advantage here because, you know, you're not writing things manually anymore.
18:40
You are using the keyboard to say this is my credentials, this is who I am.
18:46
And I've done this task and it's in the system and it's in the database and that's it.
18:50
It's locked.
18:51
OK, again, results are uneditable, undeleatable.
18:57
There is a database there.
18:59
And yeah, that's it in a nutshell.
19:08
I know there's a lot of information that we can go through here and I don't know if there's enough time for that, but so please come visit us if you have more interest in the robotic side of things or any other technical questions, I'm here.
19:20
So feel free to come and talk to myself or my colleagues.
19:26
So yes, thank you.