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Sterilization process acceptable USB3 camera

Product name: Sterile-cam USB (STC-USB-M01, -C01)

We provide availability of USB3 camera to your experiments in a sterile environment.

 

Feature 1: versatility of camera function

Direct control by PC with USB3 cable
Mechanical connection of C mount and camera screw
Time lapse image capture by attaching software

Feature 2: accept sterilization process

Can be applied to H2O2 sterilization process without cover

Comparison of Decontamination and Sterilization

Some virus and bacteria can remain after Decontamination process

No virus, bacteria and cells remain after Sterilization process

Picture of Sterile-cam USB

Specifications

Mechanical data

  Size: 56mm x 56mm x 135mm (excluding protrusions and cables)

  Weight: 800g

Camera function

  Sensor 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

 Attaching Software

  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.

Remarks

Sterile-cam USB accepts only H2O2 Sterilization, it does not accept other sterilization process such as EOG and autoclave.

 

Option

In case C mount lens cannot accept sterilization process, we can supply lens cover for H2O2 Sterilization process as an optional tool (maximum lens size: 35mm in length, 30mm in diameter)

Application hearing software

Dispersive PST

Image analysis / edge detection software developed by UCLA Prof. Bahram Jalali laboratory

Comparison with previous edge detection software

Feature of PST

Feature 1: textures and features are detected similarly without any influence of brightness

PST helps to detect stable image characteristics to improve precision of image based AI

Feature 2: specimens are easily detected however illumination is insufficient

PST realizes long time observation of photo toxic specimens (cells)

Feasibility test1: stable texture detection against different illumination level

Background:

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.
Test result:

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

Background:

It is hard to make cell daughter analysis with photo toxic cells because cells have damages from illumination.
Test result:

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