gk12
3rd day gk12 with csu
what the fellows do…
krystal
research interests: what cues are needed for proper development
impact of stress on development
blood vessels in para ventricular nucleus of the hy (PVN)
(nobody has looked at what caused this to happen – new field – no textbook)
unpack…
how do i get more fundamental info? or how did you get to this thought process?
slovenia – help with some of research interest
mice over there that help research role of sex hormones in vascularization
roe of stress during development on vascularization
(they die – at birth adrenal are critical)
guy in slovania is the only in the world that can do surgery on neo- natal mice
what do sex steroids do in brain function
any human born premature is texa methalon – significant clinical implications, more than 10% of people born in us get this and a growing number
need ovary slices for the chip
time lapsed videos – watch ovulation occur – (only ones doing it)
polysis (PCOS) syndrome – ovarian failure model – 10-15% of women in us – end up in metabolic syndrome – overweight
___________________________________
matt
1. is gaba necessary for proper cell placement and gene expression in hypothalamus
2. if gaba signaling is blocked in early developent what happens to adult behaviors
3. where do cells that make up the PVN come from
4. can we label and see mitotic events in vivo?
PVN—-ACTH—-cortisol
major depressive disorder/anxiety disorder
in order for this to work – have to have all the right players doing all the right things
check to see if mice are stressed – forced swim test –
anxiety disorder – plus maize – mouse that is more anxious is going to hang out in protective arms
video microscopy – how does drug x effect rate/direction/percent of cell movement
immuno histochemistry – when receptor is knocked out or drug is given how does the location of peptide/neuron x change
gene/production expression –
immuno histochemistry/western blot
reverse transcriptase,
so amy – one thing we’re researching – how stress in a person decreases their rigor… so doing what you’re passionate about – or at least have flow in is the finding..
never thought of doing a forced swim test… sounds fun – but the stress is obvious
right now can’t test with microscopy because the technique actually kills the cells –
all the cells where matt wants to study are formed in 2 days
mit – lady just won mill for this… check her out amy
feedback loops – could programming do this?… (diabetes)
example of how we do research
anything in hs curriculum for stem cells – adult neurogenesis
future of parkinson’s treatment…
location is important… a friendly location – parkinsons, huntingtons – only one spot – much more fixable
but hippocampus – many locations
cells can be programmable to be x or y (stu said that would be cool if hs kid could get this)
front range has resources we need to get for lisa – look into that – from carol at rocky
amgem
the crime scene is a great way to evaluate if they understand the content
_____________________________________________________
cherelle
biomedical materials
implants
polymers
chromotology
mris
half life…
new treatment on a tumor
this is organic chem that they don’t get till ap chem
silly putty lab
materials and properties and separation
what makes a molecule magnetic
magnetism – back to atomic structure
nuclear chem only taught by jeramy and ? in their district – easiest to relate to with mri/energy
uranium in nun..
air pollution
stem tends to be very broadly based – making connections
build a lab that changes the half life…
what ways can project tap into inorganic chem – mole calculations, stoicheometry different types of calculations, chip chem, percent yield, you made a 1 molar – but how would you make a milli molar – how do you calculate – what can you measure…, significant figures – wjen you start talking about weighing something…how much did your balance actually weigh – it’s all about the balancing scale, dimensional analysis (sig figs and measurement),
need to intro dimensional anal at a younger age
measurement to mearsurement errors and propagation of that error
gemini – landed 120 miles off site – in 60’s
measurement issue is huge
you can’t measure out a piece of paper and have it be perfect
finite and discrete data
can’t do all this apart – that’s why we do it together in a project
error bars… as a standard… we all suffer from measurement issues – acceptable perimeters of error: micro pippets and do an experiment where you calibrate a pippet – water into a dish and weigh it… that water weighs 1 gram here, not a volume, convert to a volume, then go through error regions
weigh m&m’s do same thing
how are they going to learn how to lecture?.. do we mean communicate?
need to make it scale out – so can we document a junto coming together of a class?
just like one-on-one is better for student.. it’s better for expert tutor… allen will get more insight in to sharing his thought process
in a group – some won’t ask what all the big words mean – one-to-one will make him/help him explain
_____________________________________
allen and matt – electrical engineering
chip functionality
-
electrode array to perform electrochemistry on tissue
-
potentiostat to perform amperometry and nvoltametry
-
amplifiers to capture weak signal spkes and amplify them
-
perform analog to digital conversation on the signals
-
perform arithmetic on the digital signals to generate a digital signature meaningful to the biologists
diff between a 16 and 32 bit.. binary numbers –
analog – infinite amplitutes – digital – discreate valued
taking a number and saying you can represent it in 16 bits
higher the bit rate – less error – but slows down the measurement
more sig figs
why switch from analog to digital – we’re always doing it – because it’s easier to manipulate that info
cost of doing digital has decreased doing exponentially over time…. now i can put mill computing element on a tiny chip… for a couple cents
sound isn’t as good
analog read out – is a gage, digital read out – is a number
good circuit for doing math really fast – on digital
there’s a real shift to go back to analog – more real world.
analog now – much more difficult to design
used to be easier – follow steps
now – go to iphone – power is in 1.5 volt – so design so much more difficult – but digital is getting easier
now have to retrain a lot of engineers
emphasis back to analog because it’s more challenging
analog….digital… until very end … analog
technically everything is analog
chip architecture – look at their picture
when the signal is so small hard to analyze – so amplify it first
signal comes in as noisy..
99.9% of cases output is a voltage
chip specifications
-
noise – circuits inherantly have their own noises – so keep to a min (primary concern)
-
power – low power to extend life
-
performance – circuits don’t need to be super fast (or do they – do they go fast and we don’t know it) – energy harvesting – can even use chemicals in body for power – lot of glucose
-
accuracy, reliability, robustness – will they degrade with use
started w/a memory block (store biosignature and used during computation)
chip progress: low-voltage memory array
published a paper on this – on the memory – it similated and worked (the digital side)
chip progress: opamps (this is the analog side)
-
low voltage, low noise (major piece for many other circuits) – very useful building block
-
designing opamps at the low supply volt of 750mV (iphone is 1.5) – cutting in half – takes power down to 1/4
chip progress: chip layout
pushing polygons – laborious
when you finish – intel – trillions of polygons
matt:
32 bit adder –
carry look ahead topology
optimized it to find the best supply voltage
functional verification – a lot of programming
1000 random inputs – see if they matched
device layout
-
had to transition from schematic to physical implementation
-
drew out transistor geometries as they would appear wehn fabricated
-
optimized for smallest amount of polysilicon and metal connections, as their parasitic resistance and capacitance degrade circuit performance
-
examples of difference between simulation results and real world results (had to check 5000 transisters)
-
change adder to a multiplier (bulk of digital signal processing)
say have 20 diff sized bricks… build a wall in a specific form…
complexity is how does each new brick lay…. infinitely easier for you to add a number in your head than your calc…
clock cycle: asyncrhonis – design circuits so all operations/signals happen at same time – so discrete as well.. sync to every rising each.. if you don’t have a clock for everything to reference to – needs to have sequential order…
o111 7
11o1 13
22
15
110
220
330
showed how to mult binary numbers
last year paired with physics : size and scale, e fields, velocity/acceleration, chemistry (bonding)
simple operation of a transisitor, holes and doping of a transistor
silicon wafers –
-
power and energy – low power electronics, wireless power
-
batter technologies – looking at specs alkaline to rechargeable
-
compare batteries in ipods/smartphones
-
modern chip design – why power concerns are #1 priority
-
estimated daily power consumption of rocky mountain high
-
wireless power – different ways to power small scale electronics
-
energy harvesting
just recently – solar panels around the moon and have it be power back to earth
wireless has been around forever – no one has figured out how to bring it down and harvest it
sensor network for trees – grab data for the sensors – so using ph differences in tree branch
-
lego mindstorm robotics
-
graphical programming interface
-
gearing up wheels to speed up
-
showed what it was like to write a research paper – software – latex
-
very interactive –
-
electronic design tools
-
lesson on programming – showed them alice
-
electrical safety – kids loved that (circuit breakers, what goes on behind a wall outlet)
chip design
matt’s grad class –
93% of teachers in science class today are biologically trained
physics is taken at the end of a math/science sequence – so it’s a filter – so only 1-2 classes
teacher with least experience will get the physics
most foreign people are exposed to programming latex engineering
intel – chip design course in ft collins
computer engineering –
8 is a 3 digit number
log out how it will relate in real life – need to assimilate
_____________________________________
zach
-
data analysis
-
optimization algorithms for circuit design
-
many parameters in design
-
sizes of components affect the performance
-
optimize these parameters (sizing) based
next year
-
brain computer interfaces
-
determine user’s intent based on brain signals
-
original motivation was assistive technologies
-
targeted as ALS and spinal cord injury patients locked in – completely paralyzed
unmaned air vehicle – put into helmets – gijoe
recording methods
-
electroencephalography (eeg) (electrodes placed on scalp)
-
electrocorticorgraphy (edog) (eclectrodes placed on cortex of brain)
-
implant
eeg – non-invasive method; noisier signal through scalp; loses high frequencies compared to ecog — in general a lower quality signal
dry electrodes – normally use a conductive gel, messy, can take 20 min to set up , even noisier than when dry
data analysis – always a lot more hidden inside – just how you look at it – so switch the technique – ie: turn it into the frequency spectrum – shows that it is there in the data even though when you look at it visually it’s not there
anything in the room runs at 60 hurz
into bio sensor
signal analysis (pull meaningful signals out of data)
more computer science than math…
______________________________________________
steve
math
create a math model of cell migration based on chemical signals
cycle between math and other sciences, from experiment develop a model, for prediction, understanding, physical intuition
experiment — model — experiment — model — experiment — model
progress in past year:
-
2-d many body simulation framework —leonard jones circles
-
3d cell
-
interactions with cells naturally spherical – not connected
-
chemical diffusion for signals
-
cytoskeleton and chemotaxis model
-
adaptive mesh methods – because above was taking too long
-
organelles
basically 2d water bags… using the adaptive grid
next steps:
-
cell adhesion model
-
cell production at ventricle
-
radial glial cell scaffolding model
-
extracellular matrix model
what to do in slavinia – they have done research on shapes and adhesions between them
________________________________________
dan
colorado
study an object
stimulate it
measure it
analyze it
_______________________________—
stu
at the end of the day – we want kids to want to connect the 4 disciplines
_____________________________
glide slope for friday
1) lab visits thurs 9-11
2) make schools available to fellows
8 computer design
how engineers tackle a project
report on research progress to you
intro to programming
? robotics
electrical safety
badge
parking
info packet of school – class site
share phone numbers
we meet wed’s at 7pm
we’ll come visit
smachen1836@gmail.com
chen research group
once a month the kids report to allen
1. computer programming (robotics, figure out how guitar amps work, speaker lab)
2. focus on electrical engineering