Product name: Pixel
We supply functionality on microscope
Feature 1: Direct connection to camera port of microscope
•No additional attaching tool is necessary
•No user alignment is necessary
Feature 2: Laser manipulation control on GUI
Pros/Cons against DMD mirror method
Pros / Cons
Methods of improve of Simultaneous illumination
Methods of improve of Simultaneous illumination (2)
Using two beam scanning system (ordermade)
Laser beam illumination profile can be controlled with 1msec resolution.
The beam size enlargement with focus adjustment unit can be applied independently.
Demo Movie 1 CW laser illumination (Selected area illumination )
Boundary selection is set by mouse clicking on image. Laser illumination amount can be adjusted by moving speed and laser intensity
Demo Movie 2 Laser cell selection (Pulsedlaser)
Selected cells are killed by laser illumination in closed chamber. Observation is fluorescent
Demo Movie 3 Object tracking
Laser illumination with image analysis (intensity analysis) is also possible
Product name: Sterile-cam USB (STC-USB-M01,
We provide availability of USB3 camera to your experiments in a sterile environment.
Feature 1: versatility of camera function
Feature 2: accept sterilization process
Comparison of Decontamination and Sterilization
•Some virus and bacteria can remain after Decontamination process
Picture of Sterile-cam USB
Size: 56mm x 56mm x 135mm (excluding protrusions and cables)
type: 1/2” CMOS (monochrome or color)
Number of pixels: 1.3Mpixels ( 1280 x 1024 )
Data interface: USB3( cable length: 2m)
Lens mount format: C
Camera Explorer (Baumer): capture still images and movies
Time lapse image capture (Pinpoint Photonics): continuous image with fixed time intervals
Captured image files can directly opened and converted to movie file by ImageJ.
Movie examples captured by attaching time lapse software and converted by ImageJ.
Sterile-cam USB accepts only H2O2 Sterilization, it does not accept other sterilization process such as EOG and autoclave.
Application hearing software
Image analysis / edge detection software developed by UCLA Prof. Bahram Jalali
Comparison with previous edge detection software
Feature of PST
Feature 1: textures and features are detected similarly without any influence of brightness
Feature 2: specimens are easily detected however illumination is insufficient
Feasibility test１: stable texture detection against different illumination level
As a texture value which is used in image based AI analysis and machine learning is based on pixel intensities, the value changes with illumination level. And a morphology value which is also
used in AI analysis may change with boundary width.
We prepared intentionally made 6 images with different illumination. However the texture values are varied with different illumination level without PST, the texture values are stabled with PST
Feasibility test 2: cell daughter analysis from dark images with 1/4 brightness
It is hard to make cell daughter analysis with photo toxic cells because cells have damages from
By applying PST on time lapse images whose brightness level is darkened to 1/4 level, cell daughter analysis of B cells is successively made. Collaborator: Prof. Alexander Hoffmann, Signaling Systems Laboratory, UCLA
As a collaboration work with Prof. Jalali, Pinpoint Photonics, Inc. is searching business application of PST